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Bolt, Nvidia Collaborate to Build Robotaxi Backbone in Europe

Autonomous vehicles are edging closer to everyday use, yet expanding them safely across Europe continues to pose major hurdles. The region’s patchwork of traffic laws, road systems, and densely built cities makes it difficult to rely only on simulated testing. Developers increasingly need real-world driving data to refine how these systems operate in varied conditions. 

In response, mobility company Bolt has entered a partnership with NVIDIA to push forward autonomous driving technology tailored to Europe. The collaboration, announced at the NVIDIA GTC 2026 conference, centers on building an AI framework grounded in data collected from Bolt’s active fleet. 

Bolt, established in 2013 in Tallinn by entrepreneur Markus Villig, has grown far beyond its early days as a ride-hailing startup. The company now provides a range of services, including shared cars, food delivery, and electric scooters, with a presence spanning dozens of countries. 

Its broader mission focuses on making transport in cities cheaper, cleaner, and easier to access. The autonomous driving initiative is overseen by Jevgeni Kabanov, who leads the company’s efforts in this area. 

Central to the project is a new data-driven system described as a learning engine. It relies on information gathered from Bolt’s vehicles operating across multiple cities. NVIDIA’s tools process this data into detailed visual and sensor-based representations of real traffic scenarios. These reconstructions allow the system to study complex driving situations, from crowded intersections to unpredictable pedestrian movement. 

Additional models help the system adapt to regional differences, such as varying traffic laws and driving behaviors. The combined platform enables vehicles to make decisions in real time, based on patterns learned from actual road conditions rather than theoretical models. 

Bolt has emphasized compliance with European data protection standards, including cybersecurity rules and GDPR requirements. The company also plans to share selected tools and frameworks with research institutions and smaller firms. This approach is intended to support wider innovation within Europe’s technology sector. 

The strategy contrasts with approaches used by some global competitors, which often depend heavily on data gathered in the U.S. Bolt believes its localized knowledge and established regulatory relationships give it an advantage when navigating Europe’s fragmented landscape. 

Looking ahead, the company aims to deploy over 100,000 autonomous cars by 2035. Initial testing will take place in major cities, with gradual expansion as systems improve. Bolt also plans to work with public authorities, universities, and startups to support testing and safety validation. 

This initiative illustrates how AI is being leveraged to advance autonomous cars. Other businesses like Datavault AI Inc. (NASDAQ: DVLT) are leveraging AI in other use cases like wireless audio solutions. These examples show how far-reaching the disruptive impact of artificial intelligence could get as the years go by. 

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