Standard Bots on its industrial robot AI stack: targeted data, on-prem inference
In a Latent Space interview, Standard Bots co-founder/CEO Evan Beard and head of AI Leif Jentoft described the AI stack behind its industrial robot arms. The company calls itself "America's largest AI-native industrial robot manufacturer," recently raised a $200M Series C at a $1B valuation led by General Catalyst and RoboStrategy, and lists NASA, Amazon and Lockheed Martin as customers. Its largest model sits in the low billions of parameters, trains in the cloud and runs inference on-premises; a zero-shot perception model trained on over a billion images locates and identifies parts, while motion and cell logic stay conventional. Its StandardOS platform offers APIs and SDKs so developers can bring their own models, such as NVIDIA Cosmos.
For engineers building agents, the same playbook applies: make the model's role narrow and use real-world corrections to fix edge cases.