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.