Deepen AI

Deepen AI provides a specialized platform for preparing the data that powers physical AI systems. The tool focuses on three core areas: annotating sensor data from LiDAR, cameras, and radar; calibrating these multiple sensors to work together accurately; and validating the quality of the labeled data. It's built specifically for teams working on autonomous vehicles, robotics, and other real-world AI applications where sensor data accuracy is critical for safety and performance.

The platform includes AI-assisted features to speed up the annotation process, like one-click bounding boxes for point clouds and machine learning-assisted object tracking. A key differentiator is its support for complex, multi-sensor data streams common in autonomous systems. Teams can manage annotation workforces, configure custom data exports, and use built-in quality assurance tools designed for safety-critical development cycles.

This tool is most valuable for engineering teams at automotive companies, robotics startups, and AI research labs that need to process large volumes of 3D sensor data. Use cases include creating training datasets for perception algorithms, ensuring sensor fusion systems are properly calibrated before deployment, and maintaining consistent data quality across large labeling projects. The platform's compliance with standards like ISO 27001 and its involvement in industry initiatives like Safety Pool reflect its focus on the rigorous requirements of the autonomy sector.