Building the Data Infrastructure for Physical AI: Hesai Launches Kosmo 3D World Data Engine
Hesai launched Kosmo, a 3D world data engine pairing the Kosmo One AI spatial camera with the Kosmo World cloud platform, aimed at physical-AI training data, world models, and immersive content. The company announced partnerships with embodied-AI firms Galbot and Dexmal and showcased integrations with Pixar's RenderMan and Amap's location platform, which reaches nearly one billion monthly active users. Hesai claims major efficiency gains: a Dairy Queen training environment cut from roughly 300 hours of manual modeling to 15 minutes, and over 100x more training data per dollar.
Key figures
- Lidar growth
- deliveries doubled for nine consecutive years
- Film cost savings
- up to 80%
- Dq success rate pct
- 99
- Data efficiency gain
- 100x
- Actuation shipments 2027
- six figures expected
- Actuation size reduction
- 37%
- Scan time 100sqm minutes
- 15
- Actuation deliveries q2 2026
- 10000
- Training trajectories per scene
- 10000
- Actuation power density multiple
- 3x
- Dq training env hours traditional
- 300
AI analysis
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