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Source document· June 17, 2026

Stellantis, Wayve, and Uber Partner to Scale Robotaxis Globally

View original at globenewswire.com
Stellantis, Wayve, and Uber Partner to Scale Robotaxis Globally Stellantis, Wayve, and Uber Partner to Scale Robotaxis Globally Stellantis, Wayve, and Uber are collaborating to develop and deploy L4 driverless mobility services By combining Stellantis’ world-class vehicle L4-Ready Platforms™, Wayve’s advanced AI Driver…
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  • Wayve's AI driving technology is designed to adapt across different regions and driving conditions without relying on city-by-city mapping or re-engineering, enabling faster and more cost-effective expansion.

    60% confidence
  • Successfully scaling autonomous mobility requires seamlessly combining the right vehicles, technology, and platform.

    60% confidence
  • The collaboration will deliver smarter, safer, and more efficient mobility by combining Stellantis' L4-Ready Platforms with Wayve's adaptive AI and Uber's global network to accelerate AV deployment that meets real customer needs at scale.

    60% confidence
  • Uber has completed more than 75 billion trips since its founding in 2010.

    60% confidence
  • The three-way partnership signals industry convergence around Wayve's technology as the leading approach to scale autonomous vehicles globally.

    60% confidence

Data points we hold from this source

Uber Technologies · trips completed75 billion_trips
Uber Technologies · founding year2010 year
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A wave of vertical AI-agent startups (Swarm, Veridox, Avallon AI, DA2, F2, Earthian, Meanwhile, Covecta, Penguin AI, Maisa AI) is being funded and profiled just as major infrastructure players — Microsoft/Mistral, Siemens/NVIDIA, and Manulife/Microsoft — cement enterprise AI governance and compute partnerships. Yet a Google Cloud report shows AI agents still lack access to the majority of company data (only 45% on average), and insider selling at incumbent C3.ai signals investor caution even as adoption intent (100% planned agentic AI use within two years) races ahead of actual data infrastructure.
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