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.