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Uber has announced the acquisition of Segments.ai, a platform specializing in multi-sensor labeling for robotics and autonomous driving, as revealed in recent LinkedIn updates from both companies. This acquisition, shared on October 2, underscores Uber’s ongoing dedication to enhancing its capabilities in lidar technology and multi-sensor data annotation.
In its statement, Uber AI Solutions, the company’s artificial intelligence arm, emphasized that this move aims to bolster its efforts in using labeled real-world data to advance autonomy, safety, and innovations in AI. The company noted that it has been engaged in this sector for nearly a decade, using expert data labeling to drive future developments.
The post highlighted the strengths Segments.ai brings to the table, including its expertise in lidar annotation tools and a robust client base. Uber expressed excitement about collaborating with Segments.ai’s leadership team, particularly CEO and Founder Otto Debals and Founder Bert De Brabandere, to build the future of lidar data annotation together.
In a follow-up LinkedIn update, Debals confirmed that he and De Brabandere would be integrating their team into Uber AI Solutions, continuing their mission to enhance annotation tools for autonomous technologies. Debals reflected on their experience in facilitating various applications such as self-driving vehicles, autonomous trucks, and drones.
Additionally, De Brabandere remarked that their aim at Uber AI Solutions will be to significantly enhance the capabilities of the data labeling team, paving the way for further innovations.
Uber AI Solutions has been expanding its offerings, catering to businesses by providing solutions developed from its own operational experiences over the past decade. In June, the organization announced its readiness to deliver new solutions to AI labs and enterprises across 30 countries. One notable addition is a platform that connects companies with a wide range of global talent, enabling them to obtain assistance in annotation, translation, and editing across various domains.
This expansion also includes datasets designed to train large AI models for diverse applications such as generative AI, mapping, and speech recognition, as well as enhancements for task flows and simulations. Megha Yethadka, the general manager and head of Uber AI Solutions, stated that they are uniting Uber’s platform, personnel, and AI systems to accelerate the development of smarter AI solutions for other organizations.
