What is Deepen AI?
Deepen AI labels the multi-sensor data behind autonomous vehicles and robots, and it calibrates the sensors those systems depend on. The calibration piece is what sets it apart from most annotation vendors.
Perception stacks fuse camera, LiDAR, and radar. Before any of that data can be labeled or trusted, the sensors have to be calibrated so their views line up in the same coordinate frame. Deepen Calibrate handles that step, from camera-to-LiDAR to radar alignment, and turns a slow manual process into something that runs in minutes. Get calibration right early and the labels downstream actually describe the same physical world across every sensor.
On the annotation side, the platform covers the formats AV and robotics teams work in:
- 3D bounding boxes and cuboids on LiDAR point clouds
- Semantic and instance segmentation in 3D and 2D
- Sensor-fusion labeling that ties camera, LiDAR, and radar together
- Object tracking across frames with time-synced sensors
Automation carries the first pass so annotators correct rather than start cold, which matters when a single driving log can run to millions of points. Review workflows sit on top, so quality control is part of the pipeline rather than a separate audit.
Teams use it in a few ways:
- AV companies labeling perception data for detection and tracking
- Robotics teams working with 3D and depth data
- Any team that needs sensors calibrated before a data campaign
- Groups that want tooling plus optional labeling services rather than one or the other
Because calibration and annotation live in the same place, Deepen fits teams that would otherwise stitch together a calibration tool and a separate labeler. That gap is a real source of drift and rework when the two live apart.
Pricing is enterprise, quoted by data volume, the sensor setup, and whether you want tooling, services, or both.
Best for autonomous-vehicle and robotics teams that need multi-sensor annotation and take calibration seriously. Less of a fit for a team labeling plain 2D images or text, where a general vision platform or workforce is a simpler match.
