Nua
Nua builds video decision models. Its Artificer 4B robotics model judges task success and progress from video, for robot evaluation, data labelling and VLA training.
About Nua
Nua
Nua is a video decision model product backed by Y Combinator. Users ask questions about their video footage, and Nua finds where a specified moment occurs and makes a judgment about whether it happened, for how long, and whether it passed. The page shows examples in robotics training data labeling, insurance claims footage, and sponsorship verification. Artificer, described as a 4B robotics model, is presented with benchmark results on ArmNet268 (92.84% balanced accuracy) and RoboReward (0.4308 source-averaged mean absolute error). The page invites visitors to request access and submit a sample video with a question, and links to API docs.
Key features
- Finds specific moments in hours of video and pinpoints when they occur
- Makes yes/no judgments about events in footage, including duration and pass/fail outcomes
- Artificer 4B robotics model for judging task success and progress from video
- Benchmark results reported for Artificer on ArmNet268 and RoboReward
- API documentation available
Best suited for
- Robot evaluation
- Training data labelling for robotics
- VLA training
- Insurance claims footage review
- Sponsorship and co-op placement verification
- Advertising video analysis
- Fleet, sports, manufacturing, construction, and retail footage review
Pricing
Not stated on the website
Discussion
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