Antioch Robotics 完成 3200 万美元 A 轮融资，由 Greylock 领投，旨在让物理 AI 团队像跑软件测试套件一样测试新版本。其仿真基础设施将场景变为软件对象，可在 Isaac Sim 或 Isaac Lab 中编写测试并接入 CI/CD，使仿真成为物理 AI 的发布门禁。合作方包括 Amazon、Ring、NVIDIA Robotics 和 Nebius AI。
Physical AI teams should be able to test a new release the way software teams run a test suite.
simulation must become trustworthy enough to act as a release gate for physical AI.
@antiochrobotics just raised a $32 mn Series A to narrow that gap.
The company is building simulation infrastructure where the scenario itself becomes a software object.
You can write a test locally in Isaac Sim or Isaac Lab, define parameter distributions, then fan that scenario out across cloud GPUs. More importantly, those simulations can be connected directly to CI/CD.
In robotics, the bug may depend on a weird combination of wind, lighting, geometry, sensor noise, human traffic, or contact dynamics. Turning that exact physical state into a repeatable test is much harder.
But with simulation, when a robot fails in deployment, you can reproduce the same failure in simulation, vary the conditions around it, and keep those tests for every release after that.
Today, we’re announcing Antioch’s $32 million Series A, led by @GreylockVC with participation from @A_StarVC, @Category_VC, @BoxGroup, @IcehouseVenture, and angels. While AI has drastically accelerated software development, physical autonomy has been constrained by slow, expensive hardware-based development. Antioch enables physical AI teams to build, test, and validate systems at the speed of software. We’re proud to be working with leading teams including @amazon @ring, @NVIDIARobotics, and @nebiusai as we make scaled, high-fidelity simulation the standard for physical AI development. Our sincere thanks to the legion of investors, customers, partners, and advisors who are making this step change possible. We’re scaling rapidly and hiring across simulation, infrastructure, machine learning, 3D graphics, go-to-market, and operations.在 X 查看被引用的帖子
来源：Rohan Paul · x.com