Deepen AI
Multi-sensor annotation and calibration tools for autonomous vehicles and robotics.
About
Deepen AI is a San Jose company founded in 2017 that builds the data tooling for physical AI: annotation plus sensor calibration in one platform. Its labeling suite covers 2D and 3D bounding boxes, semantic and instance segmentation, polylines, keypoints and point-cloud sequence segmentation across LiDAR, camera and radar, with AI-assisted pre-labeling and an automated quality checker. The calibration suite computes intrinsic and extrinsic parameters for LiDAR, cameras, radar, IMUs and vehicle sensors.
The company also offers managed annotation services from an in-house team and holds ISO 27001, TISAX, GDPR and HIPAA compliance, serving automotive OEMs and robotics teams including a partnership with TIER IV on autonomous mobility. Caveat: pricing is quote-based with no public free tier, and the product is specialized for autonomy and robotics rather than general text or image labeling.
What it can do
- 2D/3D bounding boxes and point-cloud sequence segmentation
- LiDAR-camera-radar calibration toolkit
- AI-assisted pre-labeling with one-click 3D boxes
- Automated quality checker and issue management
- Managed annotation services with in-house workforce
Setup
Contact Deepen AI for a demo; tools deploy on-premise or in the cloud per enterprise requirements.
Prerequisites
Multi-sensor datasets (LiDAR, camera, radar); enterprise agreement for services.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Strengths: founded 2017, ~260 employees per third-party profile, ISO 27001/TISAX/GDPR/HIPAA, TIER IV partnership; annotation + sensor calibration in one platform; managed services with in-house workforce; Docked for: (1) no public pricing or free tier; (2) specialized to autonomy/robotics; (3) headcount/revenue figures are third-party estimates. Manual review: caveat on pricing and specialization noted in entry. License: proprietary (quote-based; no public free tier).
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 4.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Strengths: founded 2017, ~260 employees per third-party profile, ISO 27001/TISAX/GDPR/HIPAA, TIER IV partnership
- · annotation + sensor calibration in one platform; managed services with in-house workforce
- · Docked for: (1) no public pricing or free tier; (2) specialized to autonomy/robotics; (3) headcount/revenue figures are third-party estimates
- · manual review: caveat on pricing and specialization noted in entry
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.