PraanaLabs

PraanaLabs is the reality check for physical AI. Physical AI fails in the gap between the model and the site it is deployed into. We work both ends of that gap. On the deployment side, we capture and verify what each real environment looks like, what varies there and where robots fail, and bring that intelligence into the operating layer the fleet already runs on. On the training side, those real failures become verified data that makes the next model better, and we measure again to prove it. The site teaches the model, and the model arrives ready for the site. How it works * Know the site: capture and verify a deployment environment before and during rollout (its layout, objects, variations and failure points) and feed that environment intelligence into the fleet's operating layer. * Measure: physics-grounded verifiers and real reference captures show where a model breaks, on which physical behaviour and in which environment. * Fix: verified real-world data aimed at those failures, captured through a distributed network on the phones people already own. * Prove: the model is measured again after training, so improvement is shown rather than assumed. Who we work with World-model labs, teams training robot foundation models and VLAs, and robot companies and operators taking systems from demo to deployment. Demos teach robots to imitate. Verifiers teach them to succeed. We are an early-stage team building from the U.S and India. If you want to know where your model meets reality, talk to us.