Data. Discipline. Deployment.
Robotics & Autonomous Systems
Spatial AI trained on reviewed data.
Autonomous systems learn from what they are trained on. BergLabs provides the structured annotation, episode review, and sim-to-real validation that turns raw sensor data into training-grade data — managed as a production operation.
How it runs
Review discipline for spatial AI.
01
Episode-level review
Robot episodes reviewed for success/failure, edge-case classification, and labeling consistency before training.
02
Structured annotation
Trajectories, manipulation sequences, and spatial events labeled to a consistent schema with multi-pass QA.
03
Sim-to-real validation
Simulation outputs compared to real-world sensor data; distribution drift flagged and corrected before training.
Next step
Bring one dataset.
A 4-week pilot runs annotation, episode review, and QA on a slice of your real sensor data.