Frontier AI labs
Training multimodal foundation models. Need diverse, defensible data at scale.
Real people. Every modality. Rights-cleared by design.
Most AI teams can tell you what their models do.
Ask them where the training data came from, who consented to what, whether it will hold up in an audit. The answers thin out.
We built UsergyAI so that question doesn’t land you in [trouble].
Every data point traces to a named, verified person who understood the work and agreed to the terms. Fair pay. Full consent.
Audio, image, video, text, multimodal, sensor. One platform. One standard.
Consent, compensation, and usage are locked before capture, not patched in at delivery.
Every file ships with its chain of custody. The dataset card is built to stand up to scrutiny.
Diverse. Defensible. Traceable. Real.
Real-time capture, automated QA, full chain of custody. For teams that want their own data pipeline without building one.
Ready-to-deploy corpora across audio, image, video, and text. Browse, license, deploy.
Tell us the modality, language, domain, and volume. We scope it within 48 hours.
Training multimodal foundation models. Need diverse, defensible data at scale.
Shipping production models in specific domains. Need data your in-house team would be proud of.
Procurement-routed, compliance-reviewed. Need data with paperwork your legal team can sign.
Named contributors. Informed consent. Skill match before they record.
Real-time, structured, platform-native. Provenance attached at creation.
Peer review, centralized QC, audit sample. Clears every layer or doesn't ship.
Dataset card with contributor profiles, consent, rights, and QC reports.
Not the data that ships. The data that holds up when someone asks.