# Silencio Introduction
### A civilizational inflection point
AI is not another wave of software. It is a change in what kind of work a species can do, and it is arriving faster than any technology before it. The World Economic Forum expects machines to take on a fast-rising share of the world's work tasks before this decade is out. For the first time, human cognition is no longer the bottleneck on what gets built, discovered, or understood.
And it no longer stops at bits. AI is moving from screens into the physical world, into the bodies of robots entering homes, hospitals, streets, and factories. If software ate the world, AI-powered robotics will rebuild it.
Every leap in machine intelligence so far has come from teaching machines a human sense. We taught them to see, and got computer vision and self-driving cars. We taught them to read, and got the large language models now remaking every industry. **There is one sense left.** We have not yet taught machines to hear, and whoever does will own the last open frontier of machine perception.
Because for all their intelligence, these systems are still deaf. **They read. They see. They cannot hear.** And hearing is exactly where the two largest unsolved gaps in AI meet: the people it cannot understand, and the world it cannot perceive.
### Four billion people AI cannot hear
Voice AI today speaks English and a handful of the world's largest languages, learned from actors reading scripts in quiet studios. It has never heard a market trader in Lagos, a grandmother in rural Java, or a kitchen full of overlapping voices in Manila. There are more than 7,000 living languages and, by some estimates, over 60,000 dialects. Today's voice AI reliably handles fewer than 3% of them, **leaving more than 6,800 languages and nearly four billion people unheard by the most important technology of their lifetimes.**
This is the new literacy divide. The last century drew its line between those who could read and those who could not. This century draws it between the people AI can understand and the people it cannot, and it is being drawn right now, inside the systems becoming how the world reaches healthcare, money, and the state. The difference is that voice can close it. Long before humans wrote, we spoke. Billions of people who will never type a prompt can speak one. **Voice is the only interface to AI that scales to all of humanity,** and it is the one almost no one is building for.
Silencio is built to close that gap, and to pay the people who close it. Our millions of contributors across 180+ countries are those four billion: lending their voices, in their own languages, earning in the same moment they teach AI to understand them. Every contribution does two things at once. It puts real money in a person's hands, and it makes AI hear one more language. Here, **inclusion and infrastructure are not a trade-off. They are the same act.**
And the window is closing. A language disappears roughly every two weeks, and about half of the world's languages are expected to be gone by the end of this century. The data for a language cannot be collected after its last speaker is gone, and no model can synthesize the sound of a tongue it has never heard. So this is not only a market. It is **a race to record how humanity speaks before the recording becomes impossible.** Every voice we capture is at once training data, a paycheck, and a piece of cultural memory that might otherwise vanish.
### Machines that cannot hear the world
The second gap is physical. Robots are moving into the places people live and work, and almost all of them are deaf. A robot can map a room to the millimeter and still not know that a glass shattered behind it, that an alarm is sounding down the hall, or that someone shouted stop. **Vision tells a machine what is in front of it. Hearing tells it what is happening, often before it can be seen.** As AI shifts from screens to multimodal perception, sound becomes as critical as sight, and it is the missing layer. **You cannot field a safe autonomous machine that cannot hear,** and almost no one is supplying the data to teach them.
### Why this is the biggest opportunity in human history
> ### Three forces are converging on the same scarce resource at the same time.
Voice is becoming the primary way the world talks to machines. 8.4 billion voice-enabled devices are already in use, and phones, cars, call centers, and homes are collapsing onto a single interface: the human voice. The voice AI infrastructure market alone is on track from about **5.4 billion dollars in 2024 to roughly 133 billion dollars by 2034,** and the broader embodied AI opportunity could eventually rival the size of the global economy.
Robotics is crossing into the real world, and the real world is loud. The global robotics market is projected to grow from **45.8 billion dollars in 2022 to nearly 96 billion dollars by 2028.** 3.9 million industrial robots already operate worldwide, and Amazon deployed its millionth in 2025. Every one of them will need to hear before it can be trusted near people.
And the data that feeds all of it is the bottleneck. The first era of AI was trained on a copy of the internet, and that copy is spent. The next era has to be trained on the world itself, captured live, and the hardest part of that world to reach, real voice and sound in every language and condition, is exactly what no public dataset holds. The market for collecting and labeling it is set to reach about **17 billion dollars by 2030, growing 28.4% a year,** with audio its fastest-rising segment. And this demand does not fade as models improve. It grows. Better models get deployed into more languages, more places, and more specialized tasks, **each one requiring data that did not need to exist the day before.**
### From the world's loudest data bank to the world's ears
We did not start here. Silencio began by building the world's largest noise level data bank, proving that millions of ordinary people, in nearly every country on earth, will contribute the sound of their world at scale and with consent. That was the hard part, and it is done. We are now turning that same network, in full, toward the opportunity that dwarfs it: capturing the world's voices to become the ears of AI and robotics, with voice as the data.
Tesla did it for vision. Scale did it for labeling. Stripe made itself the layer every payment passes through, and Twilio the layer every message passes through. **Silencio is building the layer every machine will pass through the moment it needs to hear.** We turn idle smartphones and browsers into a global field-audio engine, already live across 180+ countries, with every contribution consent-cleared and verifiable on-chain. **Frontier AI labs and Fortune 100 companies already train on data sourced from this network, and almost no one knows our name yet.**
Whoever owns the world's real voices owns a piece of every machine, and every person, that AI will ever need to hear. That is what Silencio is building, quietly, while the rest of the market looks the other way.
# The Problem
Embodied AI Can’t Hear the World - Yet.
### AI has hit a wall, and it is made of the real world
The first era of AI was trained on a copy of the internet. That copy has now been read, scraped, and largely spent, and the returns from more of the same have flattened. The next era will not be won with more data like the old data. It will be won with data that barely exists yet: real human voice and sound, captured in the world, in every language, under consent. Almost no one is producing it. **That gap is the problem, and it is the opportunity.**
Today's data fails in two directions at once.
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Today's data fails in two ways, and each one locks out a world
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### **Failure #**1 - **AI cannot hear most of humanity**
The speech data that exists is overwhelmingly English and a few dozen major languages, recorded by paid actors in quiet studios. It captures almost none of the way the world actually speaks. There are more than 7,000 living languages and, by some estimates, over 60,000 dialects, nearly none of them present in the data AI learns from. Today's voice AI reliably handles fewer than 3% of the world's languages, leaving **more than 6,800 languages and nearly four billion people effectively unheard.**
This is not a feature gap. **It is the new literacy divide.** The last century drew its line between those who could read and those who could not. This century draws it between the people AI can understand and the people it cannot, and it is being drawn right now, inside the systems becoming how the world reaches healthcare, money, and the state. Four billion people are placed on the wrong side of it by default.
And the window is closing. **A language disappears roughly every two weeks,** and about half of the world's languages are expected to be gone by the end of this century. The data for a language cannot be gathered after its last speaker is gone, and no model can synthesize the sound of a tongue it has never heard. Left alone, AI becomes an engine of linguistic extinction rather than a record of human diversity. This is where **inclusion and infrastructure become the same act.** Every voice we capture is at once training data, a paycheck for the person who gave it, and a piece of cultural memory that might otherwise have vanished. We are not only teaching AI to hear the world. We are preserving the world worth hearing, at the precise moment it is most at risk of falling silent.
### **Failure #2** - **AI cannot hear the real world**
Robots and agents are leaving the lab, and the lab is nothing like a kitchen, a street, or a factory floor. Today's models are already strong at the head of the distribution, clean speech, common phrases, quiet rooms, and they fail at the tail: overlapping voices, heavy accents, background noise, the alarm down the hall, the command shouted across a room. But the tail is where the remaining value lives, in both revenue and safety, and it is exactly where no data exists. The frontier of AI performance has become **a data problem at the edges, not a compute problem at the center.** Synthetic audio and simulation help bootstrap and then collapse on that tail. This is the sim-to-real gap, and for sound there is only one way to close it: real field data. **A system trained in silence fails the moment it meets the world.**
### And the usual ways out are closed
**There are only three ways to get training data. You can scrape it, you can generate it, or you can collect it from the world.** The first is finished: the public internet has been read, and under the EU AI Act, data without provenance is no longer merely low quality, it is a liability. The second cannot save you either, because synthetic data can remix what a model has already seen but cannot invent the sound of a language or a place it has never heard, and it decays when trained on its own output. That leaves the third. Real people, real voices, real conditions, captured with consent. It is **the hardest path, and the only one that still works.**
Until now it has also been impractical. The old way to collect this data, staged recordings, expensive proprietary hardware, and a handful of locations, does not scale to thousands of languages and billions of real-world moments, and it rarely proves where the data came from or that anyone agreed to give it. The one viable path **existed in theory and almost nowhere in practice.**
The single input the entire voice and robotics economy depends on, real, diverse, consented, multilingual field audio at global scale, is **precisely the input no one has built the means to produce. That is the wall. Silencio was built to be the way through it.**
# The Solution
A people-powered network capturing real-world voice and audio across more than 1,000 languages and dialects, at a scale no one else can reach.
### We turned the people into the network
If the only way to obtain this data is to collect it from real people in real conditions, the advantage does not go to whoever trains the largest model or builds the most expensive recording studio. It goes to whoever can reach the most people, in the most places, at the lowest cost, with verifiable consent. That infrastructure already exists. **It is sitting in four billion pockets.**
Silencio turns idle smartphones and browsers into **the world's largest field-audio engine.** Rather than send crews to record the world, we give the world the means to record itself, and pay it to do so. **2.5 million contributors across 180 countries** already supply voice and audio in **more than 1,000 languages and dialects**, captured in genuine real-world conditions. Every contributor is **a sensor, a speaker, and a stakeholder at once.** This is how you source data that no studio can stage and no scraper can find.
### It reaches the long tail by design
Because the network is built from ordinary people in ordinary places, it captures what centralized collection cannot: the rare languages, the regional accents, the overlapping speakers, the real acoustic environments from crowded markets to moving vehicles. These are the edges of the distribution, where both the commercial value and the technical difficulty concentrate. **Coverage is not a line on a roadmap. It is a property of the network.** More than 1,000 languages and dialects today, on a path to the tens of thousands the world actually speaks.
### It is capital-light, and it compounds
There is no proprietary hardware to manufacture and no sensor grid to deploy, so the marginal cost of reaching one more language or one more country approaches zero. The asset appreciates rather than depreciates: every contribution widens coverage and lowers the cost of the next dataset. **Silencio is a flywheel, not a warehouse.**
### It is consented at the source
Every contribution is opt-in, anonymized, and carries a verifiable, tamper-proof record of who agreed to what. The data provenance the EU AI Act now requires is not added after the fact. **It is captured in the same act as the data itself,** which turns the industry's fastest-growing liability, the question of where training data came from, into a property Silencio can prove on demand and price at a premium.
The output is model-ready: an off-the-shelf catalogue of **more than 500,000 hours**, on-demand collection in any language or condition, and human transcription and validation across scripted speech, natural conversation, and command data. **Frontier AI labs and Fortune 100 companies already train their voice AI on data sourced from this network.**
This closes both gaps in a single motion. The same network that teaches machines to hear gives nearly four billion unheard people a voice in AI and pays them for it, while assembling the largest living record of how humanity actually speaks. **The rest of the industry is working to simulate the world. Silencio records it.**
Silencio began as the world's largest noise level data bank, built on passive, decibel-only measurement. That earned something rare: the trust and the reach of a network of millions across 180+ countries. Voice is the deliberate next step, and a fundamentally different act. Contributors actively choose to provide their voice through our browser-based platform, recording by recording, consent by consent. The noise network proved people will contribute the sound of their world at planetary scale. The voice platform is where they choose to give it their language. That same reach, now turned in full toward the audio layer of AI, makes Silencio the bridge between the real world and the machines learning to understand it, and whoever owns that bridge owns the last mile of physical-world data that no amount of compute can replace.
# Our Mission & Roadmap
### Our Mission
**To teach machines to hear, and to give every human a voice in AI.**
Silencio is building the audio layer of artificial intelligence: a global, people-powered network that captures real-world voice and sound, with consent, in every language the world speaks. We exist to close the two gaps that define this era of AI, the nearly four billion people it cannot understand, and the physical world it cannot perceive. **Every voice we capture advances both at once: it is training data for the machines of the next decade, income for the person who gave it, and a permanent record of a way of speaking that might otherwise disappear.**
We measure success in three numbers: the languages and dialects AI can hear because of us, the people earning from the value of their own voice, and the share of the world's voice AI trained on data our network supplied. **The mission is complete when nothing human is unheard.**
### Roadmap
From proving the network to owning the audio vertical.
Each phase of Silencio exists to prove one thing. The first proved that a planetary-scale, consent-based data network can be built from ordinary smartphones. The second proved that this network produces revenue-grade voice data that the world's most demanding buyers will pay for. The phases ahead scale that proven engine toward a single position: **the default audio data infrastructure for AI and robotics.**
**2022 - 2023 Proving the network**\
Silencio launches and grows into the world's largest noise level data bank, contributors in nearly every country measuring the sound of their world. The lasting result is not the noise data. **It is the proof that millions of people, across 180 countries, will contribute real-world data with consent**, the single hardest precondition of everything that follows.
**2024 Proving the economics**\
The network passes its first revenue, launches verifiable on-chain consent and rewards, and demonstrates the loop that defines the model: **data revenue flowing back into the network that produced it.**
**2025 - 2027 The pivot to voice, and the push to own it**\
Silencio turns its network in full toward the defining data gap in AI. Voice collection goes live across scripted speech, natural conversation, and command data, with human transcription and validation. The network spans **more than 2.5 million contributors, over 1,000 languages and dialects, and an off-the-shelf catalogue exceeding 500,000 hours**, with frontier AI labs and Fortune 100 companies already training on data sourced from it.
The mandate for this phase is aggressive and specific: close the next wave of frontier labs and Fortune 100 clients, push the token flywheel hard so that every dollar of data revenue tightens supply and rewards the network that earned it, and pursue **every niche language on earth**, the rare and low-resource tongues that competitors cannot reach and AI cannot do without. The network itself scales with the demand it serves: **from 2.5 million contributors to 10 million, then 50 million**, each step widening coverage and dropping the cost of the next dataset.
The same period opens the second front: **embodied AI**. The contributor network begins capturing egocentric, first-person data, the sound and context of the world as a person moves through it, which is precisely the data the coming generation of robots and agents must train on. This is the deepest layer of the moat: **the community is the asset, and the asset is retargetable.** A network of millions of consenting contributors can shift from one dataset type to the next in weeks, at a marginal cost no studio, vendor, or sensor fleet can approach. Whatever data AI needs next, Silencio is already standing where it has to be collected: **everywhere, faster and cheaper than anyone.**
The destination does not move. Silencio becomes the infrastructure other companies build on: the first place any lab, enterprise, or robotics company comes when a machine needs to hear, and the standard for how real-world data is sourced ethically at scale. The long arc is unchanged and unhurried: **a world where every machine that listens, and every person who speaks, passes through the network we are building now.**
# Keynotes
Introduction to the vision of becoming the world's ears for AI & Robotics
Q3 2025
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# How We Source Data
One network, one engine, every dataset.
Silencio turns everyday devices into a global field-data engine. There is no proprietary hardware and no recruiting agency in the loop: contributors use the smartphones and browsers they already own, and the network reaches anywhere people are. **The same engine that mapped the world's noise now captures its voices**, and it can be retargeted to whatever dataset AI needs next.
### Who contributes, and what they produce
**Millions of contributors across nearly every country on earth** produce the data buyers cannot find anywhere else, in **thousands of languages and dialects**, in real conditions. Through **Silencio Voice AI**, contributors deliver three core data types: **scripted speech**, read from prompts to create labeled, structured corpora across languages and accents; **natural conversation**, unscripted dialogue for training conversational and dialogue models; and **command data**, short task-based utterances for assistants and robotics control. Around the voice core, the network continues to capture **ambient and environmental signal** through Silencio Sound Check, the noise intelligence layer where the network began, and is extending into **egocentric, first-person data collection** for embodied AI.
### How quality is assured
Scale is worthless without quality, so the network polices itself. Contributions pass through **layered validation: automated screening for technical quality, human peer review by other contributors, and expert checks on sampled data**, before anything reaches a buyer. Contributors build reputations over time, and rewards follow accuracy, which aligns every participant with the quality of the catalogue. The result is field data with studio-grade reliability, delivered as **model-ready datasets with transcription and validation included.**
### How consent and payment work
Every contribution is opt-in and anonymized, and every consent is recorded as a **verifiable, tamper-proof entry tied to the contribution itself**, creating the audit trail the EU AI Act demands and scraped or synthetic data can never have. Contributors are paid in **USDC base pay** for accepted work, real, stable, withdrawable value, with **$SLC rewards, raffles, and bounties** as the upside layer for consistent participation. People are not data subjects here. **They are the supply side of the business, and they are paid like it.**
### What buyers receive
Buyers access the network three ways: an **off-the-shelf catalogue of hundreds of thousands of hours and growing**, **on-demand collection** in any language, demographic, or acoustic condition, and **transcription and validation** as a service on top. Delivery is enterprise-grade and provenance is provable on demand. **Frontier AI labs and Fortune 100 companies already train their voice AI on data sourced from this network.**
### The flywheel
The economics close the loop: contributors supply data, buyers pay for datasets, and revenue flows back, to the contributors who earn from it and to the token economy that tightens around it. **More contributors mean better coverage, better coverage wins bigger buyers, bigger buyers fund more contributors.** The network does not just scale. It compounds.
# The Network
What it offers, what it powers, and why it cannot be copied.
Silencio is one network with one engine: **millions of contributors across 180+ countries**, capturing real-world voice and audio in **thousands of languages and dialects**, with consent recorded at the source. Everything the company sells, and everything its customers build, draws from this single asset.
### What the network offers
The commercial core is **Silencio Voice AI**: real-world speech data captured, validated, and delivered model-ready. Contributors produce **scripted speech** for labeled, structured corpora across languages and accents, **natural conversation** for training dialogue and conversational models, and **command data** for assistants and robotics control. Buyers access it three ways: an **off-the-shelf catalogue of hundreds of thousands of hours and growing**, **on-demand collection** in any language, demographic, or acoustic condition, and **human transcription and validation** as a service on top. Every dataset ships with provenance that is **provable on demand and audit-ready under the EU AI Act.**
Alongside the voice core, **Silencio Sound Check** ([www.silenciosound.com](http://www.silenciosound.com)) remains the world's largest noise level data bank, the layer where the network began. It still earns, powering noise insight for real estate, travel, and urban planning, and it stands as permanent proof of the model: millions of people, contributing the sound of their world, in nearly every country on earth.
### What the world builds on it
Every machine that listens is a customer. **Voice assistants and conversational AI** train on our speech and command data to understand real people, with real accents, in real conditions. **Foundation models and frontier research** draw on consent-cleared, multilingual speech the internet does not hold, and **frontier AI labs and Fortune 100 companies already train on data sourced from this network.** **Speech synthesis, dubbing, and localization** require authentic source voices under verifiable consent as they expand from a few dominant languages toward all of them. **Robotics and embodied AI** train on command data and real-world sound to operate safely around people, with the network extending into **egocentric, first-person collection** for the coming generation of embodied systems. **Autonomous vehicles and drones** learn the sounds that precede sight, the siren behind the wall, the horn before the car appears. And **sound-aware safety, health, and industrial systems** train acoustic event recognition on the true sound of the world rather than a staged imitation of it. Beneath all of it sits the asset that compounds across every application: **the largest living record of how humanity actually speaks.**
### Why it cannot be copied
**Reach.** Millions of contributors in 180+ countries on hardware they already own. No proprietary devices, no sensor grids, no recruiting agencies, and near-zero marginal cost to enter one more country or language.
**Coverage.** The long tail by design: rare languages, regional dialects, real acoustic conditions. This is the data that breaks models in deployment and the data no studio or scraper can produce.
**Provenance.** Consent captured in the same act as the data, recorded as a verifiable, tamper-proof entry. As regulation tightens worldwide, this converts the industry's largest liability into Silencio's pricing power.
**Retargetability.** The deepest layer of the moat. A consenting community of millions can shift from one dataset type to the next in weeks, noise to voice to egocentric, at a speed and cost no competitor, studio, or sensor fleet can approach. **Whatever data AI needs next, this network is already standing where it must be collected.**
**Time.** A model can be retrained in months. A trusted global network of millions takes years to assemble. **You cannot build this in time.**
### Who owns the value
The network is owned by the people who power it. Contributors are paid in **USDC base pay** for accepted work, with **$SLC rewards, raffles, and bounties** as the upside layer, and **75% of all data-related revenue flows back into the token economy**, with the remaining 25% funding growth and operations. Contributors are not data subjects. **They are the supply side of the business, and they own the value they create.** How that ownership works, and how value accrues to $SLC, is the subject of the next section.
# On-Chain Proof
Don't trust our numbers. Audit them.
Every whitepaper makes claims. Almost none can prove them. Silencio's defining numbers, the contributions flowing in, the consent behind them, the tokens burned, the value staked, are **recorded on-chain and published openly**, where anyone can verify them in real time without trusting a word this document says. The network's live analytics are public at [**www.dune.com/silencionetwork/silencio-network** ](https://www.dune.com/silencionetwork/silencio-network)
### What the chain proves
Three things matter, and all three are verifiable. **The supply side is real.** Contributions arrive from unique, verifiable devices across 180+ countries, so the network's scale is observable, not asserted, and participation cannot be quietly inflated. **The consent is real.** Every contribution carries a tamper-proof consent record tied to the data itself, which is precisely the audit trail buyers must produce under the EU AI Act, available on demand rather than reconstructed after the fact. **The token economics are real.** Burns, staking, holders, and transfers are all public, so the deflationary mechanics described in this document are not a policy you must believe. **They are a ledger you can read.**
### Why it matters to a token holder
The history of data networks is a history of unverifiable claims: inflated user counts, invisible revenue, reward systems that quietly favor the house. On-chain publication forecloses all of it. When the flywheel in this document says that data revenue flows back into the token economy, a holder can watch it happen, burn by burn, stake by stake. **Transparency here is not a value statement. It is an enforcement mechanism**, and it is what separates a network owned by its participants from a platform that merely says so.
The same proof serves every party at the table: contributors verify they are paid what the rules promise, buyers verify the provenance they are paying a premium for, and investors verify that growth is real before committing capital. **One ledger, no trust required.**
# Our Honest Data Approach
Ethical by default. Verifiable by design.
Silencio is built on a simple principle: **data should only be collected when people know it is happening, agree to it, and benefit from it.** In an industry built on silent extraction, scraping, tracking, and quiet monetization, this is still a radical position. We hold it for two reasons. It is right. And it is precisely what makes Silencio's data **sellable where scraped data no longer is.**
### What we collect, and what we never do
The network captures only what each product needs and nothing more. **Silencio Sound Check collects decibel levels only, never raw audio.** Silencio Voice AI captures short voice and audio segments under **explicit, opt-in consent**, with anonymization safeguards applied throughout. There is no passive listening, no background recording, and no collection a contributor has not knowingly chosen.
### Privacy engineered in, not promised after
Every layer of the network is built privacy-first: **end-to-end encryption** in transit, **anonymization of all contributed datasets**, **on-device processing wherever possible** so sensitive data never has to leave the contributor's hardware, **no centralized user profiling**, and **minimal capture by design.** These are architectural decisions, not policy documents, which means they cannot quietly erode.
### Control stays with the contributor
Contributors choose what to contribute, when, and for what use. Participation is **voluntary, opt-in by design, and reversible at any time**, and every accepted contribution is paid. Each consent is recorded as a verifiable, tamper-proof entry tied to a non-identifying machine ID, proving what was authorized, when, and from which device, the mechanics of which are covered in **On-Chain Proof.**
### Compliant on both sides of the business
Silencio operates at the intersection of the two most heavily regulated frontiers in technology: AI training data and digital assets. Most companies in our market have an answer for one and an exposure on the other. **Silencio is built compliant on both.**
On the data side, the network is built for **GDPR and CCPA compliance** and is **consent-cleared and audit-ready under the EU AI Act**, with its legal and technical architecture reviewed by external privacy and security specialists. On the asset side, **$SLC is MiCA-compliant**, aligned with the EU's Markets in Crypto-Assets framework, the world's first comprehensive regulatory regime for digital assets. As MiCA enforcement reshapes the European market and raises the bar for issuers, compliance has become the dividing line between tokens that can operate, list, and grow inside the world's largest regulated market and tokens that cannot. **$SLC stands on the right side of that line.**
This pairing is close to unique, and it compounds. Regulation is the great filter coming for both of Silencio's markets at once: data suppliers without provenance will lose their buyers, and tokens without compliance will lose their venues. Each wave clears competitors from one side of our business while Silencio passes through both. **Every tightening of the rules widens our moat.** We do not treat regulation as a ceiling to clear. We treat it as the floor the rest of the industry will eventually be forced onto, and we are already standing there.
### Why honesty wins
The AI industry is converging on a hard truth: the era of asking forgiveness for data is ending. Regulators demand provenance, courts are pricing the risk of scraped data, and the largest buyers now require an answer to a question most suppliers cannot survive: **where did this come from, and who agreed?** Silencio is the answer built in advance. Every hour in our catalogue carries its consent with it. Honest data is not our marketing. **It is our protocol, and it is the reason the most demanding buyers in AI can train on our data and sleep at night.**
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For more information, please refer to the Data Privacy section under Technical Implementation.
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# Technical Overview
# Silencio Voice AI Architecture
The following chart represents a high-level overview of the Silencio Voice AI Architecture:
### The Silencio Voice AI Platform
### How the data is actually made
Everything this document claims about Silencio's data, that it is consent-cleared, multilingual, field-sourced, and enterprise-grade, is produced by one system: the Silencio Voice AI platform. It is the deliberate, browser-based environment where people choose to contribute their voice and where raw human speech becomes model-ready datasets. **This is active, knowing participation, not passive capture.** Every recording is something a person chose to give.
### Consent and identity, captured at the source
Before a single recording, contributors complete a privacy-first onboarding that establishes both the diversity of the dataset and the legitimacy of the data. Contributors voluntarily provide demographic context, age range, gender, location, native and additional languages, under explicit consent, and consent itself is **granular and specific**: people authorize exactly which uses their data may serve, commercial TTS training, research, dataset distribution, and each authorization is recorded as an **immutable on-chain consent record**. This is what lets every dataset carry provable provenance under the EU AI Act, by construction rather than as an afterthought.
### Built for the long tail of human speech
The platform is engineered to capture the diversity no studio corpus holds. Contributors identify their language and regional dialect from a comprehensive, searchable database organized by region and language family, and specify their accent through **familiar cultural and geographic identifiers rather than technical linguistic labels**, with maps and audio samples to guide accurate selection. The result is correctly labeled coverage across thousands of languages and dialects, captured from real speakers rather than approximated from a handful.
### The contribution flow
Contributors choose how they participate: **scripted readings** for structured corpora, **spontaneous and conversational prompts** for natural dialogue, **commands and keywords** for assistants and robotics, and **live conversations**, real, recorded exchanges between contributors on the platform that capture genuine multi-speaker dialogue, turn-taking, and natural speech as it actually happens. Sessions flex from short contributions to extended ones, so participation does not require time or technical skill. Contributors specify their **recording environment**, quiet room, café, outdoors, with live audio-quality feedback, and where a dataset calls for it, the platform guides **expressive delivery** across emotional and stylistic registers. Throughout, contributors control how their recordings are tagged, in plain language, keeping labeling accurate and human.
Every contribution is paid. Contributors earn **USDC base pay** for accepted work, real, stable, withdrawable value, and every contribution also earns entries into **monthly $SLC raffles**, the upside layer that rewards consistent participation with ownership in the network. People are not data subjects here. They are paid, in real money, for building the asset.
### Quality: a three-layer validation pipeline
Field data is only valuable if it is reliable, so quality is enforced in three stages, and this pipeline is among Silencio's hardest assets to replicate. First, **automated AI validation** scores every submission for technical quality, pronunciation, and text-to-speech alignment, approving the clean and flagging the rest. Second, **native-speaker peer review** puts flagged recordings in front of community validators who verify pronunciation, cultural appropriateness, and linguistic authenticity in their own languages, the step no centralized lab can match at this language breadth. Third, **internal expert review** handles complex and edge cases. Underpinning all of it, a **reputation and trust-scoring system** tracks both validators and contributors over time, so accuracy compounds: trusted contributors earn faster approval, accurate validators earn weight, and the network's quality improves as it grows.
### Delivery: model-ready datasets, not raw files
What reaches a buyer is engineered for immediate use. Audio ships as **high-quality WAV at standardized sampling rates**, meeting the bar for commercial TTS development and academic research. Datasets are **precisely segmentable** by language, accent, demographic, environment, and data type, so buyers curate exactly the subset they need. Every file carries **enriched JSON metadata**, speaker demographics, linguistic detail, recording conditions, and technical properties, structured to drop straight into machine-learning pipelines. And critically, the platform delivers **authentic field recordings**, real-world environments rather than studio conditions, which is precisely the data that makes models robust where it counts.
### Transcription, by native experts
Transcription is where Silencio's quality separates from the field. Every recording is transcribed by **human transcribers who are native, expert speakers of the language**, not by automated speech-to-text, and not by generalists working in a language they do not live in. This is how you reach the highest standard across thousands of languages and dialects: a Swahili dataset transcribed by Swahili experts, a Tagalog dataset by Tagalog experts, people who hear the accent, the idiom, and the context a model and a foreign annotator both miss. Beneath the human layer, **forced alignment adds word-and-phoneme-level timing**, with precise timestamps and speaker markers, giving buyers transcription that is both linguistically authentic and machine-precise.
This is delivered with the data, not sold as an afterthought, so buyers receive **labeled, time-aligned, expert-transcribed voice**, training-ready on arrival. And Silencio offers the same expert transcription and validation as a **standalone service** to buyers who bring their own audio. The network that captures the world's voices also makes them legible to machines, in the languages no one else can staff.
Two notes. The USDC-plus-monthly-raffle model now appears here and in the token section, consistent by design, so if the raffle cadence ever changes it changes in both. And confirm one operational point for accuracy: the live conversation recordings, both speakers consent and both are paid, I have written it that way since it is the only defensible model, but if only the initiating contributor is paid, tell me and I will adjust the line.
# On-Chain Consent
### On-Chain Consent
### Consent as a verifiable asset
Most data companies ask you to trust that consent was given. Silencio lets you verify it. Every meaningful action on the network is recorded on-chain, so both contributors and the buyers licensing their data can independently confirm that every dataset was collected with explicit, provable permission. This is the mechanism that turns Silencio's ethical principles into something a regulator can audit and a buyer can defend.
### How it works
When someone joins the network, they create a self-custodial wallet and a sensor account abstraction wallet through Particle Network by agreeing to the platform's terms. **The seed phrase is stored securely on the device and never leaves it.** From that point, the wallet issues verifiable, on-chain consent, powered by the Peaq Network, for each category of participation: **microphone access for voice contribution, deliberately granted, never assumed**, voice and audio contributions through Silencio Voice AI across scripted prompts, free speech, conversation, and commands, the environmental measurements behind Sound Check, and network actions such as raffles and bounties.
### What gets recorded
Each consent action is **immutably recorded on-chain, specifying the type of data authorized, the device ID, and the time of contribution.** The result is a tamper-proof audit trail tied to a non-identifying machine ID, the exact provenance the EU AI Act now demands, captured at the moment of contribution rather than reconstructed afterward. The same architecture holds whether a person contributes through the mobile app or through the browser-based Voice AI platform, which requires no download yet carries identical on-chain consent.
### Why it matters
For contributors, this is ownership made real: their permission is recorded, scoped, and theirs. For buyers, it is the difference between data they can deploy and data that becomes a liability the moment a regulator asks where it came from. As detailed in On-Chain Proof and Data Privacy in Depth, consent here is not a checkbox in a database Silencio could quietly alter. **It is a public record neither we nor anyone else can rewrite.**
# Data Privacy in Depth
The architecture behind the promise
{% hint style="info" %}
Disclaimer: This information should not be taken out of the context of Silencio Network LLC’s application or website. All information here is for explanation purposes only.
{% endhint %}
Our Honest Data Approach states the principle. This section shows the machinery. Silencio is engineered so that privacy does not depend on policy or good intentions: **it is enforced by how the system is built**, layer by layer, from the first tap in the app to the moment a dataset reaches a buyer.
### What is captured, by product
For **Silencio Sound Check**, the network captures decibel-level measurements, dB(A), only. **Raw audio is never recorded, analyzed, or stored.** No conversation, no voice, no personal sound ever enters the system, which is also why aggregated noise data does not constitute personal data under GDPR Article 4(1).
For **Silencio Voice AI**, audio is captured only when a contributor explicitly opts in, recording by recording. Every contribution is anonymized, stripped of personal identifiers, and quality-checked through **AI-driven scoring for clarity, completeness, and noise, followed by human review**, producing datasets that are privacy-compliant and enterprise-grade in the same pass.
### Anonymous from the start
Contributors can participate under pseudonyms or non-identifiable emails. Identifiers are **hashed and stored separately from data streams**, so a contribution can never be walked back to a person. The network collects no names, no phone numbers, and no unnecessary personal data of any kind: **data minimization is the default, not a setting.**
Consent that is granular, plain, and revocable.
Consent is requested **dataset by dataset**, in plain language rather than legal jargon, and the app remains fully usable without any commercial data sharing at all. Contributors can view their contributions, revoke consent, or delete their data at any time. **No username or email is ever tied to raw data or visible to a buyer.** Every consent action is recorded on-chain, tied to a cryptographic machine ID and timestamp, creating the immutable audit trail described in **On-Chain Proof**, and giving every dataset the provenance the **EU AI Act** now demands of the companies that train on it.
### Privacy in commercialization
Silencio sells **aggregated datasets and anonymized training corpora, never individual-level data.** A buyer may license anonymized multilingual voice datasets or noise averages across a city. A buyer can never see an identifiable contributor history, because the system holds no link between identity and data to expose. Every partner, from AI labs and enterprises to governments and academic institutions, operates under **strict data use agreements** that bind how datasets may be used downstream.
### Compliance, precisely stated
Under **GDPR**, the network operates on Article 6(1)(b), contractual necessity, for core app function, and **Article 6(1)(a), explicit consent, for any commercial use of contributed data.** In the United States, the architecture is built for **CPRA, CPA, VCDPA, and the expanding family of state privacy frameworks.** Across all of it, six principles hold: **data minimization, the right to erasure, transparency, explicit consent for any microphone or location access, encrypted storage with strict access controls, and regular technical and legal audits** by external privacy and security specialists.
### A higher standard, on purpose
Combining verifiable consent, minimal collection, machine validation, and human oversight, Silencio sets the benchmark for what ethical audio data means in practice. Contributors are protected, paid, and in control. Buyers receive data they can defend to any regulator. **Privacy is not an add-on here. It is the protocol.**
# Database Backups and Encryption
We understand the importance of keeping user data safe and accessible. That is why we have robust backup practices in place, including the following:
* **Daily Backups:** We perform daily database backups to protect against potential data loss. These backups are stored on a separate server, ensuring availability even if the central system encounters an issue.
* **Encrypted Backups:** To enhance security, all backups are encrypted. This ensures that the data remains secure and unreadable if unauthorized access occurs.
* **Disk Snapshots:** We also take disk snapshots, which capture the state of our data at specific moments. This allows us to quickly restore systems to a previous state in case of data corruption or accidental deletion.
With these backup and recovery practices in place, we aim to ensure that user data is secure and readily available when needed, providing peace of mind to those using our services.
# Tech Stack + Infrastructure
Silencio is built on a highly secure and scalable infrastructure using Amazon Web Services (AWS) to support backend operations. The following key features ensure robust performance and data protection:
### Tech Stack
Silencio Network implements a modern, scalable technology stack designed for cross-platform compatibility and high performance. The mobile applications are built natively using\
Kotlin for Android and Swift for iOS, ensuring optimal platform-specific user experiences and access to native device capabilities. The backend micro-services infrastructure is powered by Node.js, providing efficient server-side processing and real-time communication capabilities. The web frontend utilizes React.js with Next.js for server-side rendering and enhanced performance, delivering a responsive and intuitive user interface. Machine learning and AI functionalities are implemented in Python, taking advantage of its rich ecosystem of ML libraries and frameworks for data processing and model training. All data is managed through PostgreSQL, a robust relational database system that ensures data\
integrity, scalability, and reliable storage for the network's growing data requirements.
### Cloudflare Proxy
Cloudflare serves as the first line of defense and optimization for Silencio's web traffic. Acting as a reverse proxy, Cloudflare provides advanced bot detection and DDoS protection, automatically filtering malicious traffic before it reaches AWS infrastructure. Machine learning-powered bot management identifies and blocks automated threats while allowing legitimate users seamless access, significantly reducing server load and improving security posture.
### Load Balancer
AWS Application Load Balancer (ALB) efficiently distributes incoming traffic across multiple backend instances. By dynamically adjusting resources, this ensures consistent performance, high availability, and redundancy during traffic surges. The ALB provides Layer 7 routing capabilities with SSL/TLS termination and health checks to maintain service reliability.
### Auto-Scaling Strategy
The platform employs an auto-scaling strategy that automatically provisions additional computing resources based on real-time demand. As user activity increases, the infrastructure scales up to maintain performance. During low-traffic periods, it scales down to optimize cost efficiency. This elasticity ensures optimal resource utilization while maintaining consistent response times under varying load conditions.
### Amazon EKS (Elastic Kubernetes Service)
Silencio implements Amazon EKS to orchestrate containerized applications with enterprise-grade security and scalability. EKS provides managed Kubernetes control plane with automatic updates, patching, and high availability across multiple AWS availability zones. Container orchestration enables microservices architecture, efficient resource utilization, and seamless deployment workflows with rolling updates and blue-green deployments.
### ElasticCache (Redis)
Redis serves as the high-performance caching layer and in-memory data store, enabling rapid data retrieval and significantly reducing database load through intelligent caching strategies. Additionally, Redis powers the platform's real-time leaderboard system, leveraging its sorted sets data structure to efficiently manage and update user rankings, ensuring instant leaderboard updates and seamless competitive features across the network.
### Amazon CloudFront CDN
Amazon CloudFront provides global content delivery for Silencio's public-facing websites and static assets. With edge locations worldwide, CloudFront reduces latency by serving content from geographically closer servers to end users. The CDN automatically optimizes delivery of web assets, images, and API responses while providing additional security features including AWS Shield for DDoS protection and integration with AWS Web Application Firewall (WAF).
### Managed SQL Cloud Database
AWS RDS Database ensures reliable data handling with features such as automatic backups, updates, and scaling to meet database load. This minimizes downtime and maintains data integrity as user demand grows. Multi-AZ deployments provide automatic failover capabilities while read replicas enhance query performance and geographical data distribution.
### Amazon S3 File Storage
Amazon S3 provides scalable and secure file storage for Silencio's data ecosystem, supporting both hot and cold storage strategies. Hot storage using S3 Standard enables immediate access to frequently requested datasets and real-time analytics files with millisecond retrieval times. Cold storage S3 Glacier and S3 Deep Archive for long-term data retention and compliance requirements, automatically transitioning older data to cost-effective storage tiers while maintaining data durability and availability when needed.
### Strong Network Strategy
Bastion Host manages access to internal resources, restricting direct access to backend services from the public internet and thereby reducing the risk of unauthorized intrusion. VPC isolation, private subnets, and network ACLs create multiple layers of security while NAT gateways enable secure outbound connectivity for private resources.
### Observability and Alerts
Silencio has advanced monitoring and automated alerting systems to ensure real-time visibility into operations, enabling prompt responses to anomalies and the maintenance of optimal performance. CloudWatch metrics, custom dashboards, and automated alerting provide comprehensive visibility into application performance, infrastructure health, and business metrics with proactive incident detection.
### Testing
Unit and integration tests are a priority. We aim to have a standard industry coverage of > 80% for the backend. Automated testing pipelines include unit tests, integration tests, and end-to-end testing with comprehensive code coverage reporting and quality gates that prevent deployment of untested code.
### CI/CD
We implement solid delivery pipelines and Secret Managers on AWS to ensure proper access to the credentials. Automated deployment workflows include code quality checks, security scanning, and staged deployments with rollback capabilities. AWS Secrets Manager provides secure credential management with automatic rotation and encryption at rest.
### Infrastructure as Code
Infrastructure as Code (IaC) helps us maintain better versioning of cloud resources and easily replicate environments. Terraform and AWS CloudFormation templates enable reproducible infrastructure deployments with version control, change tracking, and environment consistency across development, staging, and production environments.
### AWS GuardDuty
Continuously monitors and analyzes activity across the Silencio infrastructure to detect threats and anomalies, enhancing the security of data flows and cloud resources. Machine learning-powered threat detection identifies malicious activity, compromised instances, and cryptocurrency mining while integrating with AWS Security Hub for centralized security findings management.
These components ensure that Silencio's backend can handle increasing demand while safeguarding data and maintaining operational stability.
# Tokenomics
The core value of our network emerges from the synergistic contributions of our community members; indeed, the collective output significantly exceeds the sum of individual contributions. Our reward system is designed to recognize users for their cumulative impact on the network rather than for the specific datasets they submit. To operationalize this principle, smart contracts systematically disburse a predetermined token budget. These tokens, known as $SLC (Silencio Tokens) are allocated to users primarily based on their contributions to the network. These contributions are measured in in-app Coins.
## Disclaimer and Limitations
The following sections showcase the mechanisms behind the smart contract’s issuance of new tokens and the distribution framework employed to compensate network contributors.
The native cryptographically secure fungible protocol token of the Silencio Network (ticker symbol $SLC) is a transferable representation of attributed governance and utility functions specified within the Silencio Network’s protocol/code. It is designed exclusively as an interoperable utility token on the network.
$SLC is a functional multi-utility token that serves as the decentralized medium of exchange between participants on the Silencio Network. The primary purpose of $SLC is to facilitate a convenient and secure mode of payment and settlement between participants interacting within the Silencio ecosystem without reliance on intermediaries such as centralized entities or institutions. It is not intended to be a general medium of exchange for goods or services outside the Silencio Network, nor is it meant to be used as payment for goods or services unrelated to the issuer.
$SLC does not represent any shareholding, ownership, participation, right, title, or interest in the Silencio Network, its affiliates, or any other company or enterprise. Token holders are not entitled to any fees, dividends, revenue, profits, or investment returns, and $SLC is not intended to be classified as securities in any jurisdiction. $SLC is solely for use on the Silencio Network, and ownership grants no rights other than the ability to use $SLC to enable interaction within the network. The secondary market pricing of $SLC is independent of the Silencio team’s efforts, with no functionality or mechanisms to control or influence such pricing.
To clarify, neither the Silencio Network nor its affiliates buy or sell virtual assets or digital payment tokens (including $SLC). Any token sale or distribution occurs during a limited initial period to secure project development funds, raise market and brand awareness, and foster community engagement; this does not involve the repetitiveness or regularity that would constitute a business.
Moreover, $SLC provides economic incentives to reward users who contribute to and participate in the Silencio Network ecosystem. It creates a mutually beneficial system in which all participants are fairly compensated for their efforts. $SLC is a vital and indispensable part of the Silencio Network, as without it, there would be no incentive for users to dedicate resources toward participating in activities or providing services that benefit the entire ecosystem.
Additional $SLC is awarded to users based on their actual usage, activity, and contributions to the Silencio Network, with incentives proportional to the frequency and volume of transactions. Users not actively participating in the network do not receive $SLC incentives.
# Token Distribution
A total supply of 100 billion $SLC tokens
{% hint style="info" %}
Token Contract:
{% endhint %}
## Allocation at Genesis
\* The Community Reserve category will be evenly distributed over 120 months through the [Community Raffle](/tokenomics/monthly-community-raffle).
## $SLC Token Distribution (%)
## $SLC Token Circulating Supply (Billions)
\* The number of $SLC tokens circulating at TGE from the Initial Community Campaigns category is based on a concluded community public sale.
# The $SLC Token
$SLC is the economic engine of Silencio. Where the previous sections describe a real business, millions of contributors, thousands of languages, paying customers among frontier labs and Fortune 100 companies, this section describes who captures the value: **the token, and the people who hold it.** $SLC is not a points system attached to an app. It is the settlement, reward, and ownership layer of the network itself.
### Demand: every dataset settles through the token
$SLC is the native currency of access to Silencio's data. Enterprises, labs, and researchers license the network's catalogue, off-the-shelf datasets, on-demand collection, transcription and validation, with **$SLC as the backbone of exchange and settlement.** Traditional buyers never need to touch crypto: fiat payments are converted to $SLC in the background, which means **every sale creates token demand regardless of how the customer chooses to pay.** As the data business grows, settlement volume grows with it, structurally, not speculatively.
### Supply: revenue buys the token back, and burns it
The mechanics are precise and conservative by design. **Silencio uses 75% of all platform revenue to buy back $SLC from the open market.** Of total platform revenue, **50% is burned permanently**, removing those tokens from supply forever, **25% is redirected to the Silencio Treasury** to fund long-term operations, grants, and liquidity initiatives, and **25% is retained by the company to fund operations.**
Every revenue stream feeds the engine: data sales of every kind, premium subscriptions, in-app advertising, marketplace purchases, and every future monetization channel the network adds. **Every dollar the ecosystem earns, from any source, strengthens the token.**
The program runs under one safeguard: **buybacks and burns execute as long as the company holds above 1 million USDC in cash reserves**, with everything above that threshold divided per the split. This floor exists so the deflationary engine can never compromise the solvency of the business that powers it. A burn program is only as valuable as the company's ability to sustain it, and this one is built to run **permanently, through every market condition, funded by real revenue rather than promises.**
Beyond the revenue loop, the network burns $SLC through its own mechanics: **unclaimed community tokens after raffle windows close, unstaking fees from early exits, early unlock penalties, and network fees** from in-app and on-chain activity. These burns reduce idle accumulation and reward committed participation, with their parameters subject to review by the Silencio team and any changes announced in advance.
Burns are executed by the BlockSound Foundation on a **monthly schedule, during the first week of each month.** Every buyback and every burn, historical and live, is publicly verifiable: the network's open analytics dashboard lives at and the burner wallet itself can be inspected directly on-chain at . Predictability and transparency are part of the design: **holders never have to wonder whether the engine is running. They can watch it.**
### Rewards: stable pay first, upside on top
Contributors earn **USDC base pay** for accepted work, real, withdrawable value with no volatility exposure. $SLC sits above it as the upside layer: contributions earn entries into **monthly raffles and bounties** that distribute $SLC in proportion to real participation, rewarding the network's most active members with ownership in the system they power. Pay makes the network reliable. **Ownership makes it loyal.**
### Staking: two paths, one network
$SLC holders can stake two ways. **In-app staking** boosts monthly rewards and raffle weight, built for contributors inside the product. **On-chain staking** delivers classic yield for long-term holders outside the app. Both paths lock supply, deepen alignment, and let every profile of holder, contributor or investor, support the network in the way that fits them.
### Access and governance
$SLC increasingly unlocks the ecosystem's premium layer: advanced analytics, deeper historical datasets, in-app benefits, and marketplace advantages. And as the network matures, $SLC becomes its **governance asset**, with holders voting on platform direction, token economics, and data priorities under a progressive decentralization model that hands control to the people who built the value.
### Why value accrues
Put the pieces together and the design is simple to state: **token demand is created by data sales, token supply is reduced by data sales, and token ownership is earned by the people who make data sales possible.** Usage creates revenue, revenue funds buybacks, buybacks fund burns, and burns concentrate the value of everything the network goes on to earn. A growing business tightens the float and widens the holder base at the same time. $SLC holders are not betting on attention. **They hold a claim on the scarcest input in AI, collected by a network only Silencio has.**
### Community Referral Program
To reward grassroots sales efforts, Silencio offers one of the most generous community referral structures in the Web3 data space:
* If a community member introduces a data buyer, and a sale is successfully executed within 3 months of the introduction, the referring member receives 25% of all revenue from that client during the first year.
* No commission is paid from the second year onward
* This applies to sales of any dataset commercialized by Silencio - noise, mobility, venue data, and future expansions
This system empowers Silencians to be not just contributors, but also ecosystem ambassadors and co-sellers, tapping into new data verticals and industry connections.
# Monthly Community Raffle
Silencio’s Deep In Luck – A Monthly Blockchain Raffle System
{% embed url="" %}
{% embed url="" %}
## Unlock Your $SLC Rewards with the "Deep in Luck" Raffle!
Join the **“Deep in Luck” Raffle**, where over **100 million unique prizes** are up for grabs every single month! Claim your mystery cubes and discover what surprises the Silencio universe has in store for you.
## How It Works
1. **Collect Raffle Tickets:** Earn in-app Coins by measuring noise levels with the app, training AI models or inviting friends. Each Coin earned equals one raffle ticket.
2. **Increase Your Chances:** The more tickets you collect, the higher your chances of winning valuable Mystery Cubes containing $SLC rewards.
3. **Claim Your Prizes:** Starting in the first week of each month, you'll have 21 days to open your Mystery Cubes and claim your $SLC prizes from the previous month.
{% hint style="info" %}
Silencio distributes $SLC tokens from the community reserve each month to reward community contributions. These tokens are allocated through a raffle system automatically including all active users.
{% endhint %}
## Epic Prizes Await
With ten prize tiers, rewards range from **Iron Nuggets** worth 1 $SLC to **Diamonds** valued at **11 million $SLC**. The more tickets you collect, the better your odds of hitting the jackpot.
The quantity of prizes is adjusted proportionally in line with the yearly reduction of community tokens, as outlined in the token distribution section of this whitepaper.
## Boost Your Rewards with the OG Bonus
Get an extra **20% bonus** on all Coins or tickets you’ve earned in the past year - both from your own activity and referrals. The OG bonus significantly increases your chances of winning bigger rewards!
## Stake and Level Up
Take your participation to the next level by staking your $SLC raffle winnings. Staking boosts your OG bonus for future raffles and unlocks exclusive perks 🤫, helping you level up and maximize your rewards over time. Detailed information coming soon!
## Transparency
Raffle results will be publicly verifiable both on-chain and on Silencio’s website shortly after each draw. Any unclaimed tokens may be burned or reallocated to future community campaigns, ensuring continued value circulation within the ecosystem.
## Rules
* 100 million prizes are distributed across categories (Iron, Bronze, Silver, Gold, Platinum, Amethyst, Sapphire, Emerald, Ruby, and Diamond). The categories reflect different $SLC values per prize; any user can win any prize, regardless of their league. The more raffle tickets they collect, the higher the chances of winning.
* OG Bonus: Users receive an additional 20% bonus on all Coins or tickets earned over the past 12 months (12 months before the current raffle month). This incentivizes consistent and active participation from our users. The OG Bonus can be further enhanced by staking raffle rewards within the app.
* Monthly reset: The raffle resets on the first day of each month at 00:00 GMT+1 and ends on the last day at 23:59 GMT+1.
* Rewards: On the last day of each month at 23:59 GMT+1, a snapshot of each user’s current number of raffle tickets will be taken. This snapshot will determine the user’s probability of receiving $SLC token prizes in that month’s raffle. This is subject to change.
* Every user has the opportunity to win any prize — regardless of their league or the number of tickets they hold.
* Transparency through the Blockchain: Results will be publicly verifiable on-chain shortly after each draw.
* Claiming prizes: Once prizes become available, users will have 21 days to claim their $SLC winnings via the mobile app. Any unclaimed $SLC after 21 days will be permanently burned and can be verified on [Silencio’s Dune Dashboard](https://dune.com/silencionetwork/silencio-network). For example, if prizes become claimable on the 3rd of the month, users will have until the 24th to claim rewards.
* Payments: The $SLC will be available for claiming starting from the first three days following each monthly raffle.
* Vesting and Lock-Up: There will be no lock-up period for $SLC tokens rewarded through the raffle system. However, a 30-day linear daily vesting schedule will apply from when the user claims the tokens.
* Eligibility: Participation in the monthly raffle is not guaranteed solely by engaging in measuring activities. Eligibility to receive tokens is subject to your country's regulatory requirements. If your county’s regulations do not permit participation in token airdrops, you will not be eligible to receive $SLC tokens. Please ensure compliance with your local laws before participating.
* Fairness: Users caught cheating will be permanently deleted from the network. The community has the right to report any suspicious activity anonymously through the Silencio App, and the Silencio team will make the final decision regarding user deletion. The $SLC from deleted users will be burned.
* Staking: Users will have the opportunity to stake $SLC earnings obtained through the monthly raffle system. In return, they will significantly increase their chances of winning in future raffle draws. (More information coming soon)
The number of individual prizes, the value of each prize, and the historic base raffle bonus are subject to change as the network evolves. Of the total monthly designated amount of community $SLC tokens, 100% will be distributed per the emission schedule regardless of changes in the reward distribution. Users will be informed at least one month prior in case of any changes to the reward distribution.
## Token Distribution
$SLC Distribution for the Monthly Community Raffle (in Billions)
Detailed $SLC Distribution
| Season | Total $SLC | $SLC Per Season |
| --------------- | ------------- | --------------- |
| Seasons 1-12 | 6,500,000,000 | 541666666.7 |
| Seasons 13-24 | 5,395,000,000 | 449583333.3 |
| Seasons 15-36 | 4,477,850,000 | 373154166.7 |
| Seasons 37-48 | 3,716,615,500 | 309717958.3 |
| Seasons 49-60 | 3,084,790,865 | 257065905.4 |
| Seasons 61-72 | 2,560,376,418 | 213364701.5 |
| Seasons 73-84 | 2,125,112,427 | 177092702.2 |
| Seasons 85-96 | 1,763,843,314 | 146986942.9 |
| Seasons 97-108 | 1,463,989,951 | 121999162.6 |
| Seasons 109-120 | 1,412,421,525 | 117701793.7 |
{% hint style="info" %}
Please note: This distribution was modified in August 2025 to extend the community rewards period from the original 5 years to 10 years. The total amount allocated for community rewards remains unchanged — only the timing of distribution has been adjusted. This change was made to support the long-term sustainability of the project and to ensure continued community engagement throughout the network’s growth. Users were informed of this adjustment 6 months prior to its first impact, ensuring transparency and alignment with the community.
{% endhint %}
# Staking
## **In App Staking**
### **Maximize your raffle rewards by staking your $SLC**
Staking boosts your OG bonus for future raffles, increasing your chances of winning a larger share of the $SLC available each month in the form of 100 million unique monthly prizes.
### How does it work?
1. **Claim Your Airdrop:** Receive your $SLC airdrop rewards.
2. **Start Staking:** Choose the percentage of your airdrop to stake (25%, 50%, 75%, or 100%) and select a staking duration (3, 6, 9, 12, 15, or 18 months).
3. **Confirm & Reap Rewards:** Instantly see your increased OG Bonus reflected and confirm your stake. Significantly boost your chances of winning epic prizes in upcoming raffles.
### **Staking Benefits**
* **Massive Raffle Boosts:** Significantly increase your winning odds in future raffles.
* **Extra Prizes:** Increase your chances of winning epic monthly prizes. Check our socials for details.
* **Stake Your Unvested Tokens:** Gain direct value from your unvested tokens.
### Rules
* **OG Bonus:**
* The OG Bonus provides one raffle ticket for each in-app coin a user earns within 12 months before the raffle month. This excludes the current raffle period.
* Users always start with a base OG Bonus of 20%.
* **Staking Bonus:**
* The Staking Bonus increases your OG Bonus for the duration of your stake.
* Example: If you stake for 18 months, the bonus will be active for those 18 months.
* Available Stake Percentages: 25%, 50%, 75%, and 100% of your last airdrop.
* Available Staking Durations: 3, 6, 9, 12, 15, and 18 months.
* The actual Staking Bonus is calculated based on the chosen percentage and duration.
#### Beta Airdrop Staking Bonus
{% hint style="info" %}
This table is exclusively applicable to the Beta Airdrop. \
\
To determine the total staking bonus, add a 20% base bonus to the listed percentages. For example, if you select to stake 100% of your Beta airdrop allocation for 9 months, the total OG bonus would be 65%.\
\
Please note that percentages accumulate within each individual staking period.
**Important Information for the Beta Airdrop:**
* Vesting Period: 50% of the SLC received in the Beta Airdrop is available immediately, while the remaining 50% is vested linearly over 6 months.
* Staking Unvested Tokens: Silencio allows you to stake both your vested and unvested tokens. To ensure fairness to the community, unvested tokens are staked before vested (Available) tokens.
Example: If you stake 75% of your total airdrop, 25% will come from your vested tokens and 50% will come from your unvested tokens. This means that 25% of your vested tokens will be available for withdrawal.
* Your staked unvested tokens will continue to vest and will be available once the stake duration comes to an end.
{% endhint %}
% Staked
3 M
6 M
9 M
12M
15M
18M
25%
3.75%
7.50%
11.25%
15.00%
18.75%
22.50%
50%
7.50%
15.00%
22.50%
30.00%
37.50%
45.00%
75%
11.25%
22.50%
33.75%
45.00%
56.25%
67.50%
100%
15.00%
30.00%
45.00%
60.00%
75.00%
90.00%
#### Monthly Raffle Airdrops Staking Bonus
{% hint style="info" %}
This table applies to all raffle months starting from March 1, 2025. Please note that percentages accumulate within each individual staking period.
{% endhint %}
% Staked
3 M
6 M
9 M
12M
15M
18M
25%
1.25%
2.50%
3.75%
5.00%
6.25%
7.50%
50%
2.50%
5.00%
7.50%
10.00%
12.50%
15.00%
75%
3.75%
7.50%
11.25%
15.00%
18.75%
22.50%
100%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
Staking Bonus Calculation
* Bonuses apply equally to all users based on the percentage of the airdrop staked - regardless of the absolute $SLC amount.
* Bonuses from multiple stakes are cumulative.
**Example:**\
20% base OG bonus + 30% bonus in month 1 + 5% bonus in month 2 = 55% total bonus
* Bonuses are only active during the staking period of each individual stake.
#### Staking Eligibility
* All users are eligible to stake at any time.
#### Staking Limits
* The maximum stake per airdrop is equal to the amount of $SLC received in that specific raffle round.
* Users cannot stake more than what they earned in that airdrop.
* Bonus percentages apply percentually for all raffle periods, regardless of the stake size.
#### Restaking
* Once a stake concludes, it can be restaked under new conditions to prolong the OG bonus associated with that stake.
#### Stake Boost
* Users may increase the duration and/or allocation of any active stake.
**Example:**\
If a user initially staked 50% of their airdrop for 6 months, they can later “boost” this by increasing their allocation to 75% or 100%, and extending the commitment to a longer duration (e.g., 9 or 12 months). The new stake replaces the old one from that day on and applies the new bonus structure.
#### Important Notes
* Staked tokens are locked and cannot be withdrawn during the staking period.
* Future staking and OG bonuses are subject to change, but existing stakes will retain their original conditions.
* App wallets do not support direct deposits. $SLC can only be staked if received via the in-app raffle. If you withdraw your $SLC from the app, you cannot re-stake it - so be sure before initiating a withdrawal.
## On Chain Staking
### What is Staking?
Staking is a mechanism that allows holders of the $SLC token to lock their tokens into the network for a certain period in order to support the ecosystem and, in return, potentially earn rewards. By staking SLC, participants signal their long-term commitment to the Silencio Network, help secure the system, and align with the project's vision of building a decentralized sound-data infrastructure.
Unlike traditional staking models tied to consensus mechanisms, Silencio staking is designed to incentivize alignment, participation, and loyalty from the community and early supporters.
### Why Stake?
Staking allows token holders to:
* Support the Silencio ecosystem by reducing the circulating supply
* Participate in future initiatives (e.g., community governance, exclusive data access, early feature testing)
* Earn rewards, determined and distributed at the discretion of the Silencio Foundation
Staking is not mandatory but provides a way for committed users and believers in the project to play a more active role in its development.
### Rewards and Foundation Discretion
The Silencio Foundation will define and periodically adjust:
* The reward structure, which may include token incentives, multipliers for long-term lockups, and ecosystem perks
* The staking durations and lock-up options
* Any additional utilities or benefits granted to stakers (e.g., whitelisting, voting rights)
All parameters are subject to change and will be announced transparently through official channels. The foundation retains full discretion over the reward issuance schedule to ensure sustainability and alignment with long-term project goals.
### How to Stake $SLC
Participating in Silencio’s staking program is simple and only takes a few minutes. Below are the step-by-step instructions to stake your SLC tokens via the official staking portal:\
Step-by-Step Guide
1. Visit the official Silencio staking portal: [https://staking.silencio.network](https://staking.silencio.network/)
2. Connect Your Wallet
3. Click on “Connect Wallet” and choose your preferred wallet provider (e.g., MetaMask, WalletConnect, etc.).
{% hint style="info" %}
Ensure you're connected to the correct network (e.g., peaq or the specified chain for staking).
{% endhint %}
4. Select the Amount of $SLC to Stake
5. Enter the amount of $SLC tokens you wish to stake. The portal will display your current balance and any applicable minimum or maximum limits.
6. Approve $SLC Token Usage
7. Before staking, you’ll need to approve the staking contract to access your $SLC tokens.
* Click "Approve"
* Confirm the transaction in your wallet
{% hint style="success" %}
This step is required only once per wallet unless you revoke permissions.
{% endhint %}
8. Stake Your Tokens
9. Once approved, click "Stake" and confirm the staking transaction in your wallet.
{% hint style="danger" %}
Make sure you have enough native tokens (e.g., ETH or PEAQ) to cover gas fees.
{% endhint %}
10. Transaction Confirmation
11. After confirmation, your tokens will be locked into the staking contract. You will see your staked amount and staking details in the dashboard.
{% hint style="success" %}
A confirmation message will also be available on the portal and via your wallet provider.
{% endhint %}
# Core Contributors
# Early Contributors
[Thomas W. Messerer](https://www.linkedin.com/in/thomas-w-messerer-89182770/)
Co Founder & CEO
Thomas is a passionate entrepreneur and an early pioneer in the DePIN space. Since fully committing to Web3 in 2019, he has co-founded, alongside his brothers, one of Europe’s largest deployment-as-a-service providers for first-generation DePIN networks. The insights gained during these formative years laid the groundwork for Silencio - where innovation meets real-world impact through decentralized data infrastructure.
Before entering the blockchain industry, Thomas and his brother Theo co-managed a team of over 100 professionals as partners at a law firm specializing in Intellectual Property. There, they advised Fortune 500 companies on managing complex IP portfolios across emerging markets, with a particular focus on Latin America.
Thomas holds a Bachelor's degree in Economics and Finance from Bocconi University and a Master’s in Management from IE University. In 2016, his early interest in blockchain led him to complete the Blockchain Strategy Programme at the University of Oxford’s Saïd Business School.
Beyond Silencio, Thomas is an adventurer at heart. Whether mountaineering, practicing self-sufficiency, or tackling endurance expeditions, he draws personal and professional inspiration from pushing his limits. He is a lifelong learner committed to building tools that empower people everywhere.
[**Eric Stotz**](https://www.linkedin.com/in/eric-thomas-stotz-9425a097/)
Co Founder & CDO
Eric Stotz, a visionary entrepreneur, is the co-founder of Buenbit, a leading crypto exchange platform operating in Argentina, Mexico, and Peru. The platform boasts 150 employees and over 1 million users.
An accomplished industrial engineer, Eric earned his degree from Universidad Catolica Argentina. He brings a wealth of experience, having spent four years at Bain & Company, where he collaborated with top management of large national and multinational groups across various industries, including Financial Services, Automotive, Mining, Oil & Gas, Steel, Insurance, and Education. Eric has actively participated in the blockchain space since 2017, continually pushing the boundaries of innovation.
In his leisure time, Eric enjoys golfing, competing in triathlons, and expressing his artistic side through playing the piano.
[**Theo Messerer**](https://www.linkedin.com/in/theo-messerer/)
Co Founder & CTO
Theo's exceptional entrepreneurial acumen and precision in executing operational strategies have been pivotal in building successful ventures. In 2019, Theo co-founded, alongside his brothers, one of the largest companies specializing in deployment-as-a-service for first-generation DePINs across major European cities. The insights he gained during those formative years laid the foundation for Silencio, merging innovative thinking with practical solutions to address real-world challenges in a fair and efficient manner.
Before venturing into the blockchain industry, Theo and his brother Thomas co-managed a team of over 100 professionals as Partners at Moeller IP Advisors. Together, they guided Fortune 500 companies in managing Intellectual Property portfolios in emerging markets, showcasing their ability to lead and deliver results in complex global environments.
Theo holds a Master's in Technology Management from Columbia University, NY, and a Bachelor’s in Communication from IE University, Madrid.
Outside his professional pursuits, Theo enjoys spending time in nature, running, hiking, riding motorcycles, and embarking on adventures with his brothers.
[Maximilano Ejberowicz](https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true\&heroEntityKey=urn%3Ali%3Afsd_profile%3AACoAAAZ5AZYBgVzTJCFjmdhjcaBBGx12WuXcvqM\&keywords=maximiliano%20ejberowicz\&origin=RICH_QUERY_SUGGESTION\&position=0\&searchId=dc1bd24a-9f62-4b37-bc12-1e0d24de2690\&sid=*z6\&spellCorrectionEnabled=false)
CTO
Maximiliano is the Chief Technology Officer at Silencio, where he combines deep expertise in data engineering, machine learning, artificial intelligence, and Web3 to build robust, user-centric infrastructure and real-world data applications.
He holds a Bachelor's degree in Systems Analysis from FIUBA, Argentina’s premier engineering university, where he also taught Data Structures for several years - demonstrating not just technical excellence but a strong foundation in computer science education.
Maximiliano began his career in high-performance engineering roles across software factories, including a Big Data firm focused on targeted television advertising and advanced attribution systems. He later rose to Tech Lead and Acting CTO at a gaming studio that modernizes classic board games for global audiences, leading multiplayer architecture and Web3 integration. His work helped the company earn a coveted spot in Google’s Indie Games Accelerator (IGA) - selected as one of just 30 companies worldwide to join the in-person program in Singapore.
He went on to co-found and lead a boutique software firm as CTO, delivering high-scale, high-impact solutions for both startups and Fortune 500 companies across industries such as health, mobility, and food & beverage.
Most recently, Maximiliano served as CTO of an AI company pioneering hyper-realistic digital clones capable of lifelike conversation - technology that culminated in a successful exit.
At Silencio, Maximiliano is now architecting the decentralized future of environmental data, shaping how cities, platforms, and AI systems interact with real-world signals collected at the edge.
Outside of work, he enjoys playing football with his local team, board games with friends, and escaping into nature with his family.
# Scientific Team
Silencio’s scientific team comprises acoustics experts, university professors, and advisors to the European Commission.
[Eoin King](https://www.linkedin.com/in/eoin-king-b4b29627/) (PhD)
Eoin King is a preeminent environmental acoustics expert specializing in strategic noise mapping and action planning. He holds a BAI in Mechanical Engineering, a Postgraduate Diploma in Statistics, and a PhD in Environmental Acoustics.
Eoin’s illustrious career includes positions on the European Commission’s Noise Expert Group and the Board of the Institute of Noise Control. As the Managing Editor of Noise/New International, he has contributed to over 70 peer-reviewed academic journal publications. Eoin also served on the Board of Directors of the Institute of Noise Control Engineering of the USA (INCE USA) from 2017–2021. During that time, he demonstrated his expertise by developing strategic noise maps for approximately 4,000 km of major roads in Ireland by Phase II of EU Directive 2002/49/EC.
In addition to his extensive professional accomplishments, Eoin held the prestigious role of Technical Chair of NOISE CON 2016, further solidifying his reputation as a leading authority in environmental acoustics.
[Enda Murphy](https://people.ucd.ie/enda.murphy) (PhD)
Prof. Enda Murphy is Professor at University College Dublin, Ireland. His research interests centre on environmental noise modelling, mapping, and noise-health relationships having more than 20 years experience in noise mapping and modelling research. Prof. Murphy was technical advisor and co-author for the European Parliament’s Towards a Comprehensive Noise Strategy (2012) produced for the Environment, Public Health and Food Safety Department. He was also appointed Scientific Advisor on the Future Brief: Noise Abatement Approaches (2017) document produced for the European Commission Directorate-General for Environment. He is currently the Co-PI (2022-2-24) on a project for Transport Infrastructure Ireland to develop a revised noise design standard for all new national roads in Ireland – the ANITA project. He is author/co-author of more than 110 academic journal papers, book chapters, conference papers and reports and is co-author of two books. One of those books is entitled Environmental Noise Pollution: Noise Mapping, Public Health and Policy (Elsevier) which has recently been published as a second edition (2022). In addition, he has published more than 45 peer reviewed papers specifically on environmental noise issues and strategic noise mapping specifically.
# Extended Core Contributors
Check out the [ Silencio Network LinkedIn](https://www.linkedin.com/company/silencionetwork/) page to learn more about the team behind the technical and operational systems driving the Silencio Network. Many team members have proudly added Silencio Network to their LinkedIn profiles.
Silencio Network LLC does not control who adds the company to their LinkedIn profile, so the listed number of employees may not accurately reflect the actual team at any given time.
# Disclaimer
PLEASE READ THE ENTIRETY OF THIS “NOTICE AND DISCLAIMER” SECTION CAREFULLY. NOTHING HEREIN CONSTITUTES LEGAL, FINANCIAL, BUSINESS, INVESTMENT OR TAX ADVICE AND YOU SHOULD CONSULT YOUR OWN LEGAL, FINANCIAL, BUSINESS, INVESTMENT, TAX OR OTHER PROFESSIONAL ADVISOR(S) BEFORE ENGAGING IN ANY ACTIVITY IN CONNECTION HEREWITH. NEITHER SILENCIO NETWORK (SILENCIO), THE BLOCKSOUND FOUNDATION (THE FOUNDATION) AND ANY OF THE PROJECT PARTICIPANTS (TOGETHER WITH THE PROJECT PARTICIPANTS, THE SILENCIO ECOSYSTEM) WHO HAVE WORKED ON THE SILENCIO APP OR PLATFORM (SILENCIO PLATFORM) (AS DESCRIBED HEREIN) OR DEVELOPERS OF THE SILENCIO PLATFORM IN ANY CAPACITY WHATSOEVER, ANY DISTRIBUTOR/VENDOR OF SLC TOKENS (THE DISTRIBUTOR), NOR ANY SERVICE PROVIDER SHALL BE LIABLE FOR ANY KIND OF DIRECT OR INDIRECT DAMAGE OR LOSS WHATSOEVER WHICH YOU MAY SUFFER IN CONNECTION WITH ACCESSING THIS WHITEPAPER, THE WEBSITE AT HTTPS:// SILENCIO:NETWORK (THE WEBSITE) OR ANY OTHER WEBSITES OR MATERIALS PUBLISHED BY THE FOUNDATION.
# Crypto Products
Crypto products can be highly risky, and their regulatory treatment is unsettled in many jurisdictions. There may be no regulatory recourse for any loss from transactions in $SLC. Any value ascribed to $SLC may change quickly and may be lost in its entirety. Further, the technologies comprising the Silencio Platform, including the $SLC token, are experimental in nature. There is no guarantee that the network will operate as planned. For more information, visit [www.Silencio.network/risks](http://www.silencio.network/risks). Holding, buying, or selling $SLC may not be permitted where you live, and it is your responsibility to comply with all applicable laws. Silencio $SLC tokens are not intended to be available to residents of the United States or certain other restricted territories. More details can be found at .
As described further below, this document contains forward-looking estimates and statements regarding the intended actions and objectives of Silencio, the Silencio Foundation, and the Silencio Ecosystem, based largely on current expectations and projections about future events for which the outcome is uncertain. It is, therefore, subject to a number of known and unknown risks, including those described at [www.Silencio.network/risks](http://www.Silencio.network/risks), that could cause the actual outcomes to differ materially from what is expressed or implied herein. Readers are cautioned not to rely on these future-looking estimates and statements. The content of this document speaks only as of the date thereof.
# Nature of the White Paper
The Whitepaper and the Website are intended for general informational purposes and community discussion only and do not constitute a prospectus, an offer document, an offer of securities, a solicitation for investment, or any offer to sell any product, item, or asset (whether digital or otherwise). Nothing contained in the Whitepaper or the Website is or may be relied upon as a promise, representation, or undertaking as to the future performance of the Silencio Platform. The information herein may not be exhaustive and does not imply any element of a contractual relationship commitment in relation to the acquisition of $SLC Token, and no virtual currency or other form of payment is to be accepted on the basis of the Whitepaper or the Website. There is no assurance as to the accuracy or completeness of such information, and no representation, warranty, or undertaking is or purported to be provided as to the accuracy or completeness of such information. Nothing contained in the Whitepaper or the Website is or may be relied upon as a promise, representation, or undertaking as to the future performance of the Silencio Platform. Any agreement between the Distributor (or any third party) and you, in relation to any sale, purchase, or other distribution or transfer of $SLC Token, is to be governed only by the separate terms and conditions of such agreement, and such agreement must be read together with the Whitepaper. Where the Whitepaper or the Website includes information that has been obtained from third-party sources, Silencio, the BlockSound Foundation, the Distributor, their respective affiliates and/or the Silencio Ecosystem have not independently verified the accuracy or completion of such information. Further, you acknowledge that circumstances may change and that the Whitepaper or the Website may become outdated as a result, and neither Silencio nor the Distributor is under any obligation to update or correct this document in connection therewith.
The information set out in the Whitepaper and the Website is for community discussion only and is not legally binding. No person is bound to enter into any contract or binding legal commitment in relation to the acquisition of any $SLC token, and no virtual currency or other form of payment is to be accepted on the basis of the Whitepaper or the Website. Any agreement governing the sale or acquisition of $SLC tokens shall be governed by a separate set of Terms of Service, available at [www.silencio.network/termsandconditions](http://www.silencio.network/termsandconditions). The Terms of Service must be read together with the Whitepaper, and further information is available at [www.Silencio.network/risks](http://www.Silencio.network/risks). In the event of any inconsistencies between the Terms of Service and the Whitepaper or the Website, the Terms of Service shall prevail.
# Token Features
The native digital cryptographically-secured cryptocurrency of the Silencio Platform ($SLC Token) is a transferable representation of attributed functions specified in the protocol/code of the Silencio Platform, designed to play a major role in the functioning of the ecosystem on the Silencio Platform, and intended to be used solely as the primary utility and future governance token on the platform. The goal of introducing $SLC Token is to provide a convenient and secure mode of payment and settlement between participants who interact within the ecosystem on the Silencio Platform, and it is not, and not intended to be, a medium of exchange accepted by the public (or a section of the public) as payment for goods or services or for the discharge of debt; nor is it designed or intended to be used by any person as payment for any goods or services whatsoever that are not exclusively provided by the issue. $SLC Token may only be utilized on the Silencio Platform, and ownership of $SLC Token carries no rights, express or implied, other than the right to use $SLC Token as a means to enable usage of and interaction within the Silencio Platform.
# Deemed Representations and Warranties
By accessing the Whitepaper or the Website (or any part thereof), you shall be deemed to represent and warrant to Silencio, the BlockSound Foundation, the Distributor, their respective affiliates, and the Silencio Ecosystem as follows:
* In any decision to receive and/or purchase any $SLC Token, you shall not rely on any statement set out in the Whitepaper or the Website;
* You will and shall, at your own expense, ensure compliance with all laws, regulatory requirements, and restrictions applicable to you (as the case may be);
* You acknowledge, understand, and agree that $SLC Token may have no value, there is no guarantee or representation of value or liquidity for $SLC Token, and $SLC Token is not an investment product, including for any speculative investment;
* $SLC tokens may not always be transferable or liquid;
* $SLC tokens may not be exchangeable against any goods or services contemplated in the Whitepaper, especially in case of failure or discontinuation of the project;
* None of Silencio, the BlockSound Foundation, the Distributor, their respective affiliates, and/or the Silencio Ecosystem members shall be responsible for or liable for the value of $SLC Token, the transferability and/or liquidity of $SLC Token and/or the availability of any market for $SLC Token through third parties or otherwise; and
* You acknowledge, understand, and agree that you are not eligible to purchase any $SLC Token if you are a citizen, national, resident (tax or otherwise), domiciliary and/or green card holder of a geographic area or country (i) where it is likely that the sale of $SLC Token would be construed as the sale of a security, financial service or investment product and/or (ii) where participation in token sales is prohibited by applicable law, decree, regulation, treaty, or administrative act; and to this effect you agree to provide all such identity verification document when requested in order for the relevant checks to be carried out.
Silencio and the BlockSound Foundation disclaim all representations, warranties, or undertakings to any entity or person (including without limitation warranties as to the accuracy, completeness, timeliness, or reliability of the contents of the Whitepaper or the Website, or any other materials published by Silencio, the BlockSound Foundation or the Distributor). To the maximum extent permitted by law, Silencio, the BlockSound Foundation, the Distributor, their respective affiliates, and service providers shall not be liable for any indirect, special, incidental, consequential, or other losses of any kind in tort, contract or otherwise (including, without limitation, any liability arising from default or negligence on the part of any of them, or any loss of revenue, income or profits, and loss of use or data) arising from the use of the Whitepaper or the Website, or any other materials published, or its contents (including without limitation any errors or omissions) or otherwise arising in connection with the same. Prospective purchasers of the $SLC Token should carefully consider and evaluate all risks and uncertainties (including financial and legal risks and uncertainties) associated with the $SLC Token sale, Silencio, the BlockSound Foundation, the Distributor, and the Silencio Ecosystem.
# Risks and Important Information
Disclaimers Relating to the $SLC Token
## It Is Expressly Highlighted That The $SLC Token:
* Does not have any tangible or physical manifestation, does not have any intrinsic value (nor does any person make any representation or give any commitment as to its value), and may lose its value in part or in full;
* Is non-refundable and cannot be exchanged for cash (or its equivalent value in any other virtual currency) or any payment obligation by Silencio, the BlockSound Foundation, the Distributor, or any of their respective affiliates, and may not always be transferrable or liquid;
* Does not represent or confer on the token holder any right of any form concerning Silencio, the BlockSound Foundation, the Distributor (or any of their respective affiliates), or its revenues or assets, including without limitation any right to receive future dividends, revenue, shares, ownership right or stake, share or security, any voting, distribution, redemption, liquidation, proprietary (including all forms of intellectual property or license rights), right to receive accounts, financial statements or other financial data, the right to requisition or participate in shareholder meetings, the right to nominate a director, or other financial or legal rights or equivalent rights, or intellectual property rights or any other form of participation in or relating to the Silencio Platform, Silencio, the BlockSound Foundation, the Distributor and their service providers;
* Does not entitle token holders to any promise of fees, dividends, revenue, profits, or investment returns and are not intended to constitute securities in any relevant jurisdiction;
* Is not intended to represent any rights under a contract for differences or under any other contract, the purpose or pretended purpose of which is to secure a profit or avoid a loss;
* May not be exchangeable against the good or service described herein, especially in case of failure or discontinuation of the Silencio project;
* Is not intended to be a representation of money (including electronic money), security, commodity, bond, debt instrument, unit in a collective investment scheme, or any other kind of financial instrument or investment;
* Is not a loan to Silencio, the BlockSound Foundation, the Distributor, or any of their respective affiliates, is not intended to represent a debt owed by Silencio, the BlockSound Foundation, the Distributor, or any of their respective affiliates, and there is no expectation of profit; and
* Does not provide the token holder with any ownership or other interest in Silencio, the BlockSound Foundation, the Distributor, or any of their respective affiliates.
# Informational Purposes Only
The project roadmap in the Whitepaper is being shared in order to outline the current status of Silencio, the BlockSound Foundation, as well as some of the plans of the Silencio Ecosystem. It is provided solely for informational purposes and does not constitute any binding commitment. Please do not rely on this information in making purchasing decisions because, ultimately, further development, release, and timing of any products, features, or functionality remains at the sole discretion of Silencio, the BlockSound Foundation, the Distributor, or their respective affiliates and is subject to change. Further, the Whitepaper or the Website may be amended or replaced from time to time. There are no obligations to update the Whitepaper or the Website or to provide recipients with access to any information beyond what is provided herein.
# Regulatory Approval
No regulatory authority has examined or approved, whether formally or informally, of any of the information set out in the Whitepaper or the Website. No such action or assurance has been or will be taken under the laws, regulatory requirements or rules of any jurisdiction. The publication, distribution or dissemination of the Whitepaper or the Website does not imply that the applicable laws, regulatory requirements or rules have been complied with. Silencio is solely responsible for the content of this Whitepaper. This Whitepaper has not been reviewed or approved by any competent authority in any Member State of the European Union.
# Cautionary Note on Forward-Looking Statements
All statements contained herein, statements made in press releases or in any place accessible by the public, and oral statements that may be made by Silencio, the Foundation, the Distributor, and/or the Silencio Ecosystem, may constitute forward-looking statements (including statements regarding intent, belief or current expectations with respect to market conditions, business strategy and plans, financial condition, specific provisions, and risk management practices). You are cautioned not to place undue reliance on these forward-looking statements given that these statements involve known and unknown risks, uncertainties, and other factors that may cause the actual future results to be materially different from that described by such forward-looking statements, and no independent third party has reviewed the reasonableness of any such statements or assumptions. These forward-looking statements are applicable only as of the date indicated in the Whitepaper, and Silencio, the BlockSound Foundation, the Distributor as well as the Silencio Ecosystem expressly disclaim any responsibility (whether express or implied) to release any revisions to these forward-looking statements to reflect events after such date.
# English Language
The Whitepaper and the Website may be translated into a language other than English for reference purposes only and in the event of conflict or ambiguity between the English language version and translated versions of the Whitepaper or the Website, the English language versions shall prevail. You acknowledge that you have read and understood the English language version of the Whitepaper and the Website.
# Beware of Scam Airdrops
As the crypto community continues to grow, so does the prevalence of scam token launches and airdrops. These schemes often entice unsuspecting individuals with promises of quick profits or free tokens, only to vanish with their funds or personal information.
At Silencio, we are committed to transparency and integrity in all our efforts. We caution our community members to remain vigilant and discerning regarding token launches and airdrops.
## Here Are Key Points To Keep In Mind:
* Watch out for scams: Be cautious of token launches and airdrops that appear too good to be true. Scammers often use deceptive tactics to lure people into their schemes.
* Trust only official sources: Only rely on information from official Silencio channels, such as our website, social media, or direct communications from our team. We will never launch a token airdrop in stealth or without informing the community.
* Do your due diligence: Research any token launch or airdrop carefully and look for warning signs or red flags.
* Protect your personal information: Be cautious when sharing personal information, such as wallet addresses or private keys, with unverified sources. Scammers may use this information to steal funds or compromise security.
* Report suspicious activity: If you encounter suspicious token launches or airdrops claiming to be associated with Silencio, report them to our team immediately. We take the security of our community seriously and will act to address fraudulent activity.
Staying informed and cautious can protect you and our community from scams. At Silencio, transparency and trust are vital, and we will always prioritize the safety and security of our community members.
# Risks & Important information
## The Risks Associated with using the Silencio Network and its SLC Tokens are Outlined as Follows:
1. **Experimental Nature:** The Silencio Network and $SLC tokens are experimental and under continuous development. There is significant uncertainty about their functionality and utility at scale.
2. **No Guarantees:** The project may never achieve widespread adoption or the necessary scale for sustained operation. The features may not perform as expected or could cease functioning altogether.
3. **Value of $SLC Tokens:** $SLC tokens are volatile and could lose their value entirely. They do not represent ownership rights in Silencio or any entity and are not investment products.
4. **Security Risks:** The loss or compromise of private keys can permanently lose $SLC tokens. Users are responsible for securing their tokens.
5. **Regulatory Risks:** The legal and regulatory landscape is uncertain and could negatively impact the project or lead to its termination.
6. **Technological Risks:** The protocol may have flaws or be vulnerable to attacks, affecting its functionality and security.
7. **Third-Party Dependence:** The project relies on third-party service providers for software development and other operations. Any disruption in these services could impact the project.
8. **Data Privacy:** Breaches in security or improper access to user data could disrupt or terminate the project.
9. **Operational Challenges:** The project's success depends on the app's ongoing operation and user onboarding, which may face challenges in various jurisdictions.
10. **Tax Uncertainty:** The tax treatment of $SLC tokens is unclear, which could result in adverse consequences for users.
For a full summary of the project’s risks, you can also view our Risks and Important Information page at [ www.silencio.network/risks](http://www.silencio.network/risks). The document emphasizes that potential users should thoroughly understand these risks and be prepared for potential losses before engaging with the Silencio Network.
# White Paper Archive
In line with Silencio's transparency commitments and the requirements of the EU's Markets in Crypto-Assets framework, all previous versions of the Silencio whitepaper are archived here and remain publicly accessible. The current whitepaper, available on the main Whitepaper page, supersedes all versions listed below in their entirety.
Version 1.0. Published 2024. In force until 12 June 2026. Superseded by Version 2.0, which reflects Silencio's focus on voice and audio data for AI and robotics, updated token economics including the revenue-based buyback and burn program, and updated network figures.
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