Deepen AI calibration suite is deployed across May Mobility's fleet workflows
Evidence notes
- Deepen AI described May Mobility as using its calibration stack to tighten sensor-calibration speed and repeatability across autonomous-vehicle fleet workflows.
- Deepen cited roughly an 80 percent reduction in calibration time versus traditional manual approaches in its public write-up.
- The story links Deepen's tooling to production AV fleets rather than lab-only dataset prep.
Company context
Develops data lifecycle infrastructure for autonomous systems including robotics and autonomous vehicles. Deepen AI provides tools for multi-sensor data annotation, sensor calibration, and dataset validation used to train perception models for computer vision and autonomy stacks.