Talking-head video for language, avatars and AV alignment
Host-led, structured speech to camera — the consented corpus behind video-language models, talking-avatar generation, and audio-visual alignment.
Models that understand or generate people talking need clean, consented footage of real faces speaking naturally — lip motion, gesture, affect, and audio in sync. Scraped face video is an ethical and legal non-starter.
Streamers and creators license host-led content — just-chatting, commentary, tutorials, podcasts on camera. Every hour is consented by the person on screen (they own it), audio intact, across demographics and settings.
- 01
Connect & recruit
Creators license host-led, speak-to-camera content they own.
- 02
Span formats
Just-chatting, commentary, tutorials, podcasts — varied speech and setting.
- 03
Verify consent & audio
The on-screen person consents; audio is kept in sync.
- 04
License & deliver
Deliver time-boxed and revocable, with provenance attached.
Powers video-language understanding, talking-avatar and lip-sync generation, gesture and affect modeling, and audio-visual alignment — with consent from the person in frame, which scraped face data fundamentally lacks.
Specs are illustrative of a representative engagement, not a fixed product sheet — every campaign and POD capture is scoped to the buyer.
Related case studies
Gameplay video for world models and game-playing agents
Real human gameplay across genres — the controllable, physics-rich video that world models, sim-to-real RL, and game-playing agents train on.
Read case study
First-person household tasks for home robotics
Egocentric video of real home and kitchen tasks — the manipulation data home-robotics and assistive-agent teams cite as their biggest bottleneck.
Read case study
Growing 500+ creators on TikTok LIVE US
How StreamGenie’s creator network helped 500+ US live streamers grow audiences and monetise — with top earners making over $35K a month live.
Read case studyQuestions, answered plainly
Have a dataset to build, or footage to earn from?
Buyers: tell us what you're training and we'll scope the supply — marketplace, in-house POD, or both. Creators: browse funded campaigns and get paid for your content and your time.