We build the verified data stack behind Physical AI.
Our mission is a safer, more productive, autonomous world, reached faster. We get there by fixing the data before training starts, so the systems that move through the real world can be trusted in it.
A safer, more productive world, reached faster.
Deepen AI is the data infrastructure for Physical AI. We bring calibration, capture, curation, annotation, and validation into a single connected stack, so the data your model learns from holds up under real-world edge cases and regulatory scrutiny.
Models that ace the benchmark still fail in the real world when sensors drift, edge cases are mislabeled, and data goes unverified. We exist to close that gap.
Raw multi-sensor data goes in; calibrated, labeled, and certifiable data comes out, traceable from sensor to label, score, and audit.
Built for safety-critical autonomy
The data holds up under real-world edge cases and the standards your customers and regulators now demand.
One stack, not five vendors
Calibration, labeling, and validation in a single system, with no handoffs where quality quietly leaks away.
Neutral by design
No competing models, and we never keep your data. Infrastructure you can build on, not a competitor in disguise.
Trusted with safety-critical data.
We work to the certifications and standards autonomy programs depend on, across automotive, robotics, energy, and industry.
As perception systems become more complex, data integrity becomes critical. This collaboration ensured calibration, localization, synchronization and sensor alignment challenges were addressed early, creating a stronger foundation for AI development.
Build the infrastructure behind autonomy.
A team of engineers, ML specialists, and data experts working on the data stack that safety-critical systems depend on.
Latest from Deepen.
What we are building and the standards we help shape. Follow along for the work behind verified data for Physical AI.
Deepen AI brings safety-first data infrastructure for AVs and robotics to CES 2026
New platform advancements for autonomous vehicle and robotics teams, including targetless calibration and a preview of the Vision-Language-Action framework.
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TIER IV expands use of Deepen AI's annotation tools to support autonomous mobility
TIER IV, founder of the open-source Autoware project, expanded its use of Deepen AI's sensor fusion annotation tools to accelerate perception training for autonomous mobility.
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Deepen AI unveils fully unified annotation, calibration, and validation suite
A single integrated suite ties calibration, annotation, and validation together, helping teams cut annotation cost and make ADAS systems safer.
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Tell us what you are building and what you need verified. Your message reaches the team that owns it, not a generic inbox.
Build the infrastructure behind autonomy.
Tell us what you are building and what you need verified. Your message reaches the team that owns it.