Deepen AI provides a safety-first suite of AI data tools for annotation, calibration, and validation tailored for autonomous systems. Their technology enhances the accuracy and speed of data processing while ensuring compliance with industry standards, addressing the critical need for reliable data in the development of safe autonomous vehicles.
Funding
Funding not disclosed
ECEKPASBTHFounders
Product
Problem
Developing safe autonomous systems requires accurately annotated, calibrated, and validated data, but these processes can be slow, complex, and prone to errors, hindering the progress of autonomous vehicle development. Existing solutions often lack the necessary tools for managing multi-sensor data and ensuring compliance with industry safety standards.
Solution
Deepen AI provides a suite of AI-powered data lifecycle tools designed to accelerate and improve the accuracy of data annotation, calibration, and validation for autonomous systems. The platform supports advanced 2D and 3D annotation with AI assistance, multi-sensor calibration with rapid parameter calculation, and automated quality checks to identify labeling issues. Deepen AI's solutions are customizable and can be integrated into existing pipelines, offering flexible deployment options on-premise or in the cloud. The company also fosters collaboration through shared driving scenarios and safety data initiatives like Safety Pool.
Target Audience
Deepen AI primarily serves enterprises and startups involved in the development of autonomous systems, including autonomous vehicles, robotics, and other AI-driven applications.
Features
- AI-powered tools for point cloud annotation, including one-click bounding boxes and segmentation
- Support for multi-sensor data, including LiDAR, camera, radar, IMU, and vehicle data
- Automated calibration parameter calculation for intrinsic and extrinsic sensor calibration
- Auto Quality Checker to automatically identify common labeling issues
- Collaborative feedback loop with comments and tagging per annotation
- Real-time productivity analytics and built-in QA workflows
- Customizable data export and flexible deployment options
- Secure and compliant design, adhering to ISO 27001:2013, GDPR, ISO 9001:2015, AICPA SOC, TISAX, and HIPPA standards