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NomadicML
Visual reasoning for Physical AI. Behavior understanding on top of your perception stack.
About NomadicML
Nomadic AI is the understanding layer for Physical AI. Robotics and AV teams have perception stacks, they can already tell you what is in the scene. What they lack is a way to understand what's actually happening at fleet scale: which behaviors matter, which edge cases broke the model, which 0.01% of moments will define safe autonomy. Nomadic sits on top of your existing perception stack, ingest your video and sensor data (RGB, LiDAR, telemetry, your own bounding boxes as evidence), and turn it into structured behaviors, validated events, and training-ready datasets at 100x speed compared to manual review. Trusted by multiple Fortune 500s, frontier robotic labs, and other leaders building autonomy in the real world. Backed by TQ Ventures, Pear VC, Jeff Dean, Scott Wu, and angels from Google DeepMind and OpenAI.
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