Automotive data engine
Unlock autonomy with production-grade data
Multi-sensor capture, expert QA, and eval-ready delivery—one partner for your autonomy stack.
End-to-end autonomy pipeline
The data engine
Three pillars. One loop.
01
Capture
Fleet & field capture with metadata at source.
02
Expert QA
Specialists validate fusion, 3D labels & tracking.
03
Delivery
Versioned manifests ready for train & eval.
Supported sensors
Multimodal inputs for production autonomy.
Cameras
LiDAR
Radar
GPS / IMU
3D clouds
HD maps
Processing pipeline
- 1Sensor fusion
- 23D reconstruction
- 3Object detection
- 4Tracking
- 5Semantic labeling
How teams build with Harbor
01
Base dataset
- Foundational capture & labels
- Sample by distribution or condition
02
Improvement loop
- Targeted batches that stress the model
- Expert QA on every release
03
Target scenarios
- Curate edge cases that matter
- Close the loop with scenario eval
Why Harbor
Better data → better models
Scenario-matched datasets that move metrics.
More value per label
Provenance and QA baked in—not disconnected rows.
One partner, faster loop
Capture through delivery without vendor stitching.