Gerra

Gerra builds data infrastructure for Physical AI. We collect multi-modal robotics datasets from real-world deployments — synchronized vision, depth, proprioception, IMU, and audio across humanoids, quadrupeds, and mobile manipulators operating in diverse environments. Our goal: enable embodied AI that can actually operate in the physical world. • Hardware-synchronized sensor fusion (<1 ms precision) • 15+ robot morphologies across retail, warehouses, public spaces • Expert-verified success/failure labels with detailed annotation taxonomy • Data structured for imitation learning, reinforcement learning, and foundation-model pre-training Use it to train and evaluate real-world policies: behavior cloning, policy transfer, long-tail robustness — or deploy your own models on our fleet to collect task-specific data. Gerra is building the dataset layer for embodied intelligence — powering the next generation of physical AI systems.