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Model releaseDream Labs · agipulse

Ex-NVIDIA GR00T team's Dream Labs launches Dream-1 robot model with a public API from $3/hour and a $90M seed round

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Published
2026-10-20
Type
Model release
Organization
Dream Labs
Source
agipulse

Why it matters

【Key points】

Dream Labs, founded by former leaders of NVIDIA's GR00T robotics research team, came out of stealth on Oct 19 (17:00 UTC). It launched Dream-1, a robot foundation model, and announced a $90 million seed round led by B Capital and Kindred Ventures.

Dream Labs calls Dream-1 a "World Action Model". It is trained on video of people doing everyday tasks, predicts what will happen next in a scene, and then works out the robot's action. The company says any bimanual robot with parallel grippers can send its camera feed and a plain-English instruction to the API and perform tasks zero-shot, with no data from that robot.

Access: the public Dream API is billed by the hour. The official post lists $3/hour for Dream-1 and $2/hour for the lighter Dream-1-flash, with each call returning 1.6 seconds of actions. Tasks are mostly tabletop work such as pick-and-place and laundry folding. For unfamiliar robots, Fine-tuning-as-a-Service adapts the model with 5 minutes to about 1.5 hours of that robot's data in the company's demos. Dream Labs says it has more than 20 hardware partners. Forbes reports that the company puts zero-shot pick-and-place success at about 80%, and other tasks at 50–60%.

【Verifiable】

Official launch post: https://dreamlabs.ai/research/dream-1/

Funding release (Business Wire): https://www.financialcontent.com/article/bizwire-2026-10-19-dream-labs-raises-90m-seed-to-build-the-brain-for-everyday-robots

【Our read】

1. Robot models usually ship as demo videos. A public, hourly-billed API that outside teams can test themselves, failures included, matters more than the headline scores.

2. Zero-shot transfer across robot bodies is one of robotics' hardest problems. Current success rates are far from production quality, and the company itself relies on fine-tuning to close the gap.

3. Cost and performance comparisons come from the company and a third-party evaluation it cites. Independent developer testing will tell more.

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