Why Physical AI needs a verified data stack
Physical AI teams need calibrated, annotated, and consistently verified sensor data.
Read the full story →Product updates, calibration and annotation deep dives, partnerships, and company news from the Deepen AI team.
Physical AI teams need calibrated, annotated, and consistently verified sensor data.
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Deepen AI and Deontic partner to help AV and ADAS teams move from data to validation.
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Why annotation quality belongs in the safety case for Physical AI systems.
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Deepen AI introduces targetless multi-sensor calibration for automotive and robotics teams.
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Deepen AI brings sensor calibration and data annotation together for ADAS development.
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Deepen AI announces a seed round to scale sensor-fusion ground truth for Physical AI.
Read the full story →Deepen AI explores the data infrastructure connecting robot perception with real-world action.
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May Mobility uses Deepen AI’s calibration suite to improve sensor operations across its fleet.
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Deepen AI announces new semantic-segmentation features for enterprise and scale-up teams.
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How the safety-pool concept supports safer automated-driving system development.
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How residual error helps estimate accuracy in a calibration optimiser workflow.
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Deepen AI’s calibration tool now supports five additional sensor modes for autonomous systems.
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ADASTEC selects Deepen AI’s multi-sensor calibration suite for advanced autonomous systems.
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TOCA Social uses Deepen AI for targetless calibration of its soccer-playing box cameras.
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Learn how Charuco boards support accurate camera calibration with fewer captured images.
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Deepen AI’s China sales programme supports growth in autonomous vehicle systems.
Read the full story →Deepen AI and Cron AI partner on annotation and adaptive 3D perception technology.
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Deepen AI welcomes industry veteran Philip Hughes as a strategic advisor.
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Deepen Calibrate provides browser-based tools for accurate multi-sensor calibration.
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Deepen AI expands sensor calibration with new radar and IMU pairings for autonomous systems.
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How 4D LiDAR semantic segmentation can improve autonomous-driving development.
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Deepen AI introduces a loop-based optimiser for multi-sensor calibration accuracy.
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Safety Pool announces 100,000 self-driving test scenarios ready for download.
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Deepen AI launches an AI-assisted annotation tool for faster, more consistent labeling.
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Vicomtech chooses Deepen AI for a high-complexity automotive sensor project.
Read the full story →Deepen AI combines sensor calibration and AI-assisted annotation for large enterprises.
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A practical guide to calibrating multi-sensor data for localization, mapping, and perception.
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