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Physical AI software · registered
Deepen AI, Inc.
Deepen AI builds a safety-first data-lifecycle platform for autonomous vehicles and robotics: Annotate (AI-assisted multi-sensor LiDAR/camera/radar labeling and point-cloud segmentation), Calibrate (targetless intrinsic/extrinsic multi-sensor calibration reducing calibration from hours to seconds), and Validate (automated data QA). At CES 2026 it added a Vision-Language-Action (VLA) framework and targetless live-calibration for AV and robot sensor fusion. It also operates Safety Pool, a scenario database for autonomy safety validation. The software is robot/AV-primary infrastructure, not a general-purpose ML tool.
HeadquartersSanta Clara, US
Founded2017
Corporate fundingNot disclosed
TeamNot listed
Deployments0
Open roles0
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Company overview
Identity and operating footprint
Company typePhysical AI software
Market segmentCorporate
StageSeed (undisclosed; investors incl. Plug and Play, Berkeley SkyDeck)
FoundersMohammad Musa (Founder & CEO)
Regions servedNorth America, Europe, Asia
Countries deployedNot listed
Service footprintNot listed
Last reviewed2026-07-16
LinkedInView profile
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Company timeline
Milestones and announcements
2026-01-08Unveiled sensor-calibration package enabling multi-modal AV/robot sensor fusionADAS & Autonomous Vehicle International
2026-01-06CES 2026: Deepen AI launches data infrastructure tools for AVs ↗Traffic Technology Today
2026-01-05Launched safety-first data infrastructure for AVs and robotics at CES 2026, incl. Vision-Language-Action framework and targetless live sensor calibrationPR Newswire
2026-01-05Deepen AI Brings Safety-First Data Infrastructure for AVs and Robotics to CES 2026 ↗PR Newswire
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Source ledger
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