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Deepen AI
Deepen AI is a Silicon Valley company building the data lifecycle infrastructure for autonomous systems and physical AI. Its platform combines multi-sensor data annotation, sensor calibration (LiDAR, camera, radar, IMU), and validation tools that carmakers, robotics firms, and AV developers use to turn raw sensor data into reliable training data. Founded in 2017, Deepen also co-created Safety Pool, a global scenario-sharing initiative launched with the World Economic Forum and WMG at the University of Warwick.
Mohammad Musa
Mohammad Musa is the founder and CEO of Deepen AI, a San Jose company building the data engine for Physical AI - tools and managed services that handle collection, calibration, annotation, validation, and synthetic data for autonomous vehicles and robotics. A Santa Clara University-trained computer engineer who once ran launch readiness for Google Apps, Musa co-founded Deepen in 2017 and has spent nearly a decade arguing that machines, like people, need many senses working together to move safely through the world. He also teaches product management at his alma mater.