Deepen AI

What Deepen AI is

Deepen AI provides data infrastructure for Physical AI, connecting sensor calibration, data curation, annotation, and validation. Deepen Calibrate aligns camera, LiDAR, radar, and IMU sensors to a shared frame; the site reports under 0.8-pixel reprojection error. Deepen Curate deduplicates sensor data, searches clips and frames, and surfaces rare scenarios before labeling. Deepen Annotate supports 2D and 3D work, including bounding boxes, segmentation, keypoints, point clouds, and multi-frame tracking. Deepen Validate scores scenario coverage, audits and compares label sets, identifies risky frames for human review, and records signed audit trails. The company lists supported formats including ROS 2, MCAP, nuScenes, HDF5, Parquet, COCO, Rosbag, Zarr, KITTI, and WebDataset, among others. REST APIs and SDKs connect its products to customer pipelines. Deployment options include managed cloud, virtual private cloud, on-premises, and air-gapped environments. Deepen presents its tools for Physical AI teams in automotive, robotics, energy, and industrial systems, including safety-critical autonomy programs. Pricing is available on request; Curate is quoted per program based on archive size and scope.