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Our product and engineering teams can customize our tools and intellectual property to meet customer needs, to integrate them into specific environments, or to adapt them to unusual use cases. Whether you need help with tools, AI models, data annotation/data processing, optimization for edge systems, or something else, we want to help.Get Started
Safety Pool is global initiative to aid the evolution and deployment of safe autonomous driving systems through smart sharing of safety related data and standards. Sponsored by the World Economic Forum, McKinsey & Company, and Deepen, Safety Pool has brought together industry leaders like Danso, Elektrobit, LeddarTech, AVL, and others in an innovative partnership that is shaping the future of the autonomous vehicle industry’s approach to safety.
Founded in 2017, Deepen AI is the only safety-first data lifecycle tools and services company focused on unlocking the potential of machine learning and AI for autonomous systems. Our tools and services are customizable to suit the needs of enterprises as well as start-ups, and we have happy customers of every size across the globe.
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 proud member of ASAM and leader in several OpenX standardization activities including OpenLABEL, openODD, openXOntology, and OpenSCENARIO 2.0.
Headquartered in Silicon Valley, California. Deepen AI has satellite offices in Detroit, Pittsburgh, Hyderabad, Munich, Hong Kong, and Tokyo.
Deepen has demonstrated true expertise in working with our LiDAR data. They have provided valuable guidance over the taxonomy, customizing their tools and workflow to our ever-evolving data collection platforms, and generating high-quality ground truth. We highly value Deepen as a labelling partner, and I look forward to our continued engagement on future data processing projects
Precisely annotated data is essential during development of our autonomous vehicles and important to verifying their safety. Deepen’s new LiDAR tools have helped improve the speed and accuracy of data annotation, allowing us to iterate even faster.
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