The score behind a million working robots.
Orchestral Labs builds the inference platform that serves robot policies in production — and turns every failure into training data.
What we believe
Robots live with an impossible tradeoff: the models smart enough to be useful are too big to run on board, and the policies fast enough for a control loop can’t reason. We believe the answer is edge–cloud orchestration — System 1 reflexes acting on the robot in milliseconds, System 2 reasoning deliberating in the cloud, and a serving layer that moves intelligence between the two at the speed of the task. That layer is what we build. It doesn’t just run the models — it turns every deployment into training data that makes them better.
Who we are
We are engineers from Netflix, Citadel, and Amazon who built large-scale recommender systems, inference platforms that served VLMs, and high-frequency trading systems.