Built for Real-World Robotics
We collect data from the places where robots actually work, like homes, warehouses and factories, improving real-world performance.
About UsPowering the data infrastructure
Powering the data infrastructure
behind Physical AI
Robgence assists robotics teams collect, annotate, and deliver training-ready datasets for embodied AI systems that interact with the world. Through egocentric data collection, multimodal annotation, motion capture, and teleoperations, we provide the real-world data needed to train, test and deploy scalable Physical AI.
End-to-End Data Infrastructure
From data collection and annotation to quality assurance and delivery, we manage the entire data pipeline so teams can focus on model development.
Trusted by Physical AI Teams
Our global operator network, structured workflows, and training-ready datasets help robotics teams scale faster than building them in-house.
Our StoryBuilt from the
Built from the
realities of deployment
Robgence was developed from a simple observation: the biggest challenges in Physical AI don’t emerge in controlled environments, they emerge in the real world where robots and embodied AI systems are deployed. Working alongside businesses running everyday operations, we saw firsthand how difficult it was to access the data needed to train reliable robotic systems.
This shaped our approach towards building around real environments and real-world complexity. Today, Robgence helps robotics teams bridge the gap between research and deployment through the data infrastructure that Physical AI requires.