Deepen AI, Inc.
"Safety-first data infrastructure for autonomous systems"
Santa Clara-based safety-first data lifecycle platform for autonomous systems: multi-sensor annotation, calibration, and validation tools.
Deepen AI, Inc. is a safety-first data lifecycle tools and services company founded in January 2017 and headquartered in Santa Clara, California. Co-founded by ex-Google engineers Mohammad Musa (CEO), Cheuksan Wang (CTO), and Anil Muthineni (Chief Architect), the company provides an integrated suite covering multi-sensor data annotation (2D/3D bounding boxes, segmentation, LiDAR, radar, camera fusion), sensor calibration (target-based and targetless for LiDAR, camera, radar, IMU), and scenario validation for autonomous vehicles and robotics. Its Safety Pool product is a global incentive-based marketplace for shared autonomous driving scenarios and safety data.
Deepen AI is a member of ASAM and a leader in OpenLABEL, openODD, openXOntology, and OpenSCENARIO 2.0 standardization. The company reported $22.2M revenue in 2025 with approximately 202 employees and offices in Detroit, Pittsburgh, Hyderabad, Munich, Hong Kong, and Tokyo.
Primary type & automation activities this supplier delivers:
Deepen AI Annotation Suite
- Model: Annotation & Calibration Platform
- Launch Year: 2017
Unified multi-sensor data annotation and calibration platform for LiDAR, camera, radar, and IMU supporting AV and robotics ML pipelines.
Safety Pool
- Model: Safety Pool
- Launch Year: 2022
Global incentive-based marketplace for sharing autonomous driving scenarios and safety-critical edge-case datasets across industry participants.
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Contact Deepen AI, Inc.
WEBSITE
https://www.deepen.ai/PHONE
+1 650-560-7130HEADQUARTERS
United States
Company Facts
Founded
2017
Primary Role
Software/Algorithm
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
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