From research programs to production fleets.
Agentuor scales with the program: the same schemas, agents, and quality standards from the first lab dataset to the robots in the field.
Research labs
Move fast on small, high-value datasets. Version ontologies freely, iterate on guidelines, and evaluate policies against growing edge-case suites.
Robotics product teams
Turn pilot recordings into production training pipelines with quality SLAs, managed annotation capacity, and evaluation gates before each release.
Enterprise programs
Governance, audit trails, data residency, and role-based access for regulated deployments across multiple sites and vendors.
Built for the data embodied AI produces.
Mobile manipulation
Long-horizon episodes with sub-task boundaries, grasp outcomes, and object tracks across RGB-D and joint telemetry. Agents flag merged events and missing outcomes automatically.
Learn moreHumanoid and legged robots
Whole-body keypoints, contact events, and terrain segmentation, with evaluation slices by surface, gait, and payload.
Learn moreWarehouse and logistics robotics
High-volume pick, place, and navigation data with LiDAR and camera fusion, coverage analytics by SKU and shelf configuration, and managed annotation capacity for peak seasons.
Learn moreAutonomous mobile robots
Point-cloud and video annotation for obstacle classes, dynamic agents, and semantic maps, evaluated across lighting and crowd density.
Learn moreTeleoperation programs
Operator-level quality tracking, episode segmentation, and demonstration filtering so only clean demonstrations reach imitation-learning pipelines.
Learn moreSim-to-real transfer
Matched simulated and real datasets with shared ontologies and gap metrics, plus recommendations for where domain randomization is still insufficient.
Learn moreChoose how you run it
Every solution above is available as self-serve SaaS, managed services, or a hybrid of the two. Research labs often start in SaaS for full control; product teams frequently add managed capacity ahead of a release; enterprise programs typically run hybrid with sensitive tasks in-house. Compare delivery models.
Tell us about your robot. We'll map the data journey with you.
Start with a walkthrough on your own data.