Axis Robotics押注众包人体动作，而非实验室，为机器人AI供数据；获1200万美元种子轮

做的是什么生意

Axis Robotics runs what it calls a compounding data engine for physical AI: it produces robot-training datasets through browser-based robot simulations and a mobile app that records real human motion, then sells customized training packages to robot makers and AI companies.

启动资金：$12M seed round led by Hack VC with Nomad Capital, Pi Network Ventures, 10K Ventures and angel investors, announced 2026-07-27.

起因

Axis Robotics was founded in 2025 by Chris Feng on the argument that physical AI is data-starved: language models scale on internet text, but robots need billions of human-physical interaction trajectories that are scarce, poorly generalized and fragmented across robot hardware. Its answer was a distributed engine that collects those trajectories from a global crowd instead of expensive labs.

经过

On July 27, 2026 Axis announced a $12M seed round led by Hack VC, with Nomad Capital, Pi Network Ventures, 10K Ventures and angels participating, to scale the compounding data engine. The company already reported more than 100,000 active contributors, 1,200+ hours of simulation data and 20,000+ hours of real-world first-person data generated monthly, and named customers including Booster Robotics, Manycore Tech, Feagine Robotics, Dexmal, Lotus Car and Geely Auto. It says pretraining the π0.5 model on its Sim Dataset V1 improved LIBERO-Plus success by 4.9 percentage points over baseline and 31.3 points over a volume-matched RoboCasa365 dataset, and plans Sim Dataset V2 for September 2026 and a DAgger Dataset for November.

结果

Still scaling as of 2026-08-07: Axis has seed capital, paid robotics customers and a growing contributor network, with Automate (A3) reporting expansion into Eastern Europe and Latin America plus more paid pilots.

可借鉴之处

当稀缺资源是多样化真实数据时，反向思考：如果质量管道保证数据可信，全球人群加简单工具能比实验室更快扩展机器人训练。