Ride-hailing company inDrive , known for letting passengers and drivers negotiate fares, is working with Chinese autonomous driving firm Pony.ai and Nvidia to begin testing robotaxis in Kazakhstan in 2027.

📌 The Core Development

The companies said Friday that they had signed a memorandum of understanding to explore bringing Pony.ai’s robotaxis to inDrive’s platform — a reflection of the growing interest in self-driving technology beyond the U.S. and China.

Testing will begin in Kazakhstan’s capital, Astana, in the first half of 2027, inDrive CTO Yuri Misnik told TechCrunch. The tests will initially involve a safety operator, with fully driverless rides as the eventual goal.

🔍 Background & Sector Context

Under the proposed plan, Pony.ai would provide its Gen-7 robotaxis, which inDrive would offer through its ride-hailing app and operate in Kazakhstan. Nvidia, on the other hand, would supply the AI technology, including its Hyperion platform and Halos safety system.

The move comes as ride-hailing companies expand their push into robotaxis. Earlier this month, Uber announced plans to test Pony.ai’s robotaxis in London , where it has also started offering supervised autonomous rides with British startup Wayve, an investor-backed partner . Uber is also working with multiple robotaxi companies in other markets, including the Middle East.

📊 Industry & Real-World Impact

Having built its business around affordable rides, inDrive is now looking to bring a similar focus to autonomous ride-hailing as it explores a market where Uber and other rivals are already making moves.

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🔮 Strategic Outlook & What Lies Ahead

“Our approach is capital-light by design,” said Misnik. “We work with a range of partners in different markets, combining their expertise with ours to deliver a better customer experience.”

Nvidia says its Hyperion platform could lower the cost of developing robotaxis by giving companies a ready-made foundation of sensors and computing technology, rather than requiring them to build and integrate everything themselves. The company also offers its Alpamayo model and tools to generate synthetic data and test autonomous driving systems across different driving scenarios.

Editorial Integrity & Multi-Source Notice: News Seconds adheres to rigorous verification and fact-checking protocols. Original reporting credited to TechCrunch. For primary wire documentation and full source material, visit Original Coverage at TechCrunch ↗.
AV
Dr. Aris Vance Verified Editorial Staff
Chief AI & Neural Systems Fellow

Dr. Vance specializes in large language model scaling, autonomous AI agent architectures, neural networks, and frontier safety benchmarks.