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CAMB.AI and DXC Technology Partner to Launch In-Vehicle Real-Time AI Translation Solution at STARTUP AUTOBAHN Expo 2025

CAMB.AI and DXC Technology Partner to Launch In-Vehicle Real-Time AI Translation Solution at STARTUP AUTOBAHN Expo 2025

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June 4, 2025
10 Min Read
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Dubai, UAE – June 3, 2025 – We are delighted to announce a groundbreaking collaboration with global technology services leader DXC Technology. Together, the two companies are introducing a multilingual, AI-powered real-time translation solution that aims to improve traffic interpretation in vehicles worldwide

This debut will take place at STARTUP AUTOBAHN’s Expo 2025, the flagship innovation platform powered by Plug and Play, bringing together over 1,800 leaders from the automotive, technology, and venture capital sectors to showcase tangible, impact-driven pilot projects.

Solving the Language Barrier in Global Mobility:

Modern mobility is increasingly global, but effective, safe travel is still hindered by language barriers. Tourists using taxis, ride-hailing apps, or rental vehicles often struggle to communicate with local drivers. Simultaneously, foreign drivers face difficulty interpreting the thousands of diverse traffic signs and regulations worldwide, risking confusion and compromised safety.

The Joint Solution: LuLingu Brought to Life

In response, DXC Technology and CAMB.AI have transformed the award-winning LuLingu concept into a working prototype. The new system integrates CAMB.AI’s real-time AI speech and translation capabilities with DXC’s strength in computer vision, data analytics, and in-vehicle UX design.

The result is a seamless in-car interface that delivers:

  • Live multilingual voice translation between passengers and drivers
  • Real-time street sign and traffic rule interpretation

In-vehicle integration with infotainment systems for a smooth and intuitive user experience

This innovation supports safer and more confident driving experiences for international users, turning complex, multilingual environments into effortlessly navigable journeys.

Spotlight: STARTUP AUTOBAHN Expo 2025

The innovation will be showcased on June 5 at Im Wizemann, Stuttgart, as part of STARTUP AUTOBAHN’s 14th edition. This year’s theme, “Tomorrow in Motion, Driven by Efficiency,” emphasises real-world innovation and practical impact.

CAMB.AI and DXC’s collaboration is among the standout projects featured, alongside mobility leaders such as Mercedes-Benz, Porsche, Bosch, and Togg. As part of the pilot lineup, the partnership exemplifies how startups and corporates can co-create implementable, production-ready technologies with global press.

From Prototype to Global Potential

Following the event, DXC and CAMB.AI plan to further refine and scale the solution for broader deployment across vehicle platforms. With the global automotive industry prioritising smarter, more inclusive in-car experiences, the potential for commercial rollout is significant.

Commenting on the partnership, Avneesh Prakash, CEO and Founder of CAMB.AI, said, "As a company, CAMB.AI is driven to make content and conversations more inclusive by removing the language divide. Through this partnership with DXC Technology, we are solving some of the most complex communication problems associated with cross-border mobility. Just imagine that with our solutions, you can now travel to any part of the world and communicate with anyone in your language. This truly is the 'Babel Fish' moment. We are now working with DXC to enable enterprises to address a wide range of localisation use cases with our proprietary AI technology"

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About CAMB.AI:

CAMB.AI is the world's most advanced speech and translation AI company, enabling seamless multilingual communication across 150+ languages. From live sports dubbing to enterprise applications, CAMB.AI transforms global engagement through AI-powered localisation.

About DXC Technology:

DXC Technology helps global companies run their mission-critical systems and operations while modernising IT, optimising data architectures, and ensuring security and scalability across complex infrastructures.

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