Founded in 2017, Deepen AI is a safety-first data lifecycle tools and services company focused on unlocking the potential of machine learning and AI for autonomous systems. We provide multi-sensor data labelling and calibration tools and services to accelerate computer vision training for autonomous vehicles, robotics and more. In addition to our core business, Deepen AI is enabling safe autonomous vehicles through multi-stakeholder collaborative initiatives. Chief among these is Safety Pool, a global incentive-based brokerage of shared driving scenarios and safety data for autonomous driving systems. We’re also a member of ASAM and leader in several OpenX standardization activities including OpenLABEL, openODD, openXOntology, and OpenSCENARIO 2.0.
Deepen Annotation combines data operation efficiencies with an experienced labelling team and AI-powered annotation tool, we are able to provide our customers with the highest ROI and quickest turnaround – all while maintaining high-quality output. Deepen AI’s annotation tool is capable of handling large point-cloud sequences with up to 500 million points on an average laptop with their proprietary advanced point-cloud rendering optimization technology. Deepen Calibrate cuts the time spent on calibrating multi-sensor data from hours to seconds, enabling accurate localization, mapping, sensor fusion perception, and control. Deepen Calibrate makes the critical task of sensor calibration simple and quick. Deepen Calibrate manages the complexities of the calibration process, ensuring accuracy and making autonomous systems safer, while also making a job that typically requires the time of a Ph.D-level engineer into something anyone can do.