Uber Rival inDrive Teams Up with Pony.ai and Nvidia to Test Robotaxi in Central Asia by Mid-2027

According to TechCrunch, Uber's competitor and ride-hailing platform inDrive plans to launch Robotaxi testing in Astana, the capital of Kazakhstan, in the first half of 2027. The test vehicles will use Pony.ai's autonomous driving system and be equipped with Nvidia's computing platform. This collaboration marks the extension of autonomous driving technology from core markets such as China and the United States to Central Asia, and signals that the global Robotaxi competitive landscape is spreading to emerging markets.

Tripartite Cooperation: A Clearly Defined Robotaxi Testing Plan

As a ride-hailing platform originating in Russia and headquartered in the United States, inDrive has extensive operations in emerging markets such as Latin America, the Middle East, and Central Asia. In this collaboration, Pony.ai provides autonomous driving software and system integration capabilities, Nvidia supplies in-vehicle computing chips, and inDrive handles the operating platform and localized implementation. Each party plays its own role, forming a "technology + computing power + operations" combination.

The test site is Astana, the capital of Kazakhstan, rather than the European and American markets with more mature autonomous driving regulations, reflecting inDrive's intention to first validate the Robotaxi business model in its advantageous markets. Astana's road conditions and climate (severe cold in winter, complex road signs) pose unique challenges to autonomous driving systems, but also provide real-world testing scenarios for technological generalization.

Robotaxi (autonomous taxi) refers to a ride-hailing service where vehicles drive autonomously through autonomous driving systems without human driver intervention. Its technology stack typically includes the perception layer (LiDAR, cameras, millimeter-wave radar), the decision-planning layer (AI algorithms), and the control-execution layer. Compared with traditional ride-hailing, the core difference of Robotaxi lies in eliminating the cost of human drivers, which in theory can significantly reduce operating costs and improve vehicle utilization. Major global players currently include Waymo, Cruise, Baidu Apollo Go, Pony.ai, and others, but most are still in limited-area testing or demonstration operation stages, and large-scale commercial deployment faces triple challenges of regulation, long-tail technical issues, and cost.

Pony.ai's New Path Overseas

Pony.ai previously focused its Robotaxi business mainly in China and the United States, and this collaboration with inDrive is its first entry into the Central Asian market. By exporting its autonomous driving system rather than directly operating, Pony.ai can expand its overseas footprint at a lower cost while accumulating road data from different regions.

Nvidia's participation continues its ecosystem strategy in the autonomous driving chip field: by providing computing platforms to multiple Robotaxi companies, it consolidates its dominant position in the in-vehicle AI chip market. The tripartite cooperation model contrasts with the asset-heavy path of companies like Waymo and Cruise building their own fleets, and is closer to an asset-light model of "technology licensing + local operations."

Pony.ai was founded in 2016 and is one of China's leading autonomous driving companies, with R&D and testing teams in both China and the United States. Its technology route centers on a fully self-developed L4 autonomous driving system, and it has launched Robotaxi services in Guangzhou, Beijing, and other Chinese cities, obtaining testing and operating permits in multiple cities. This cooperation with inDrive is its first entry into the Central Asian market in the form of "technology export." Pony.ai has previously collaborated with automakers such as Toyota and FAW to explore pre-installed mass-production autonomous driving solutions, but its overseas operating experience is relatively limited, and the Kazakhstan project will be an important touchstone for testing its technological generalization capabilities.

Opportunities and Challenges in the Central Asian Robotaxi Market

Ride-hailing penetration in Central Asia is still growing, but autonomous driving regulations, road infrastructure, and user acceptance are not yet mature. The 2027 testing plan has a long time span, leaving a window for regulatory communication and technical adaptation. Whether inDrive can promote autonomous driving testing permits in Kazakhstan will be a key prerequisite for the project's implementation.

From a competitive landscape perspective, Western platforms such as Uber and Lyft have not yet conducted Robotaxi testing in Central Asia, and inDrive's early layout may help it establish technological brand awareness in the regional market. However, there is still a gap between Robotaxi testing and large-scale commercial operations, and the 2027 tests are more likely to be conducted in limited areas with safety drivers present.

Kazakhstan's autonomous driving regulatory environment is still in its infancy. The country has not yet introduced nationwide autonomous driving testing regulations, and relevant permits usually require case-by-case negotiation with local governments and transportation authorities. As the capital, Astana has relatively good road infrastructure and conditions for intelligent transportation pilots, but extreme winter temperatures (down to minus 40 degrees Celsius) place higher demands on the stability of sensors (especially LiDAR and cameras). In addition, local road signs are mainly in Russian and Kazakh, and the behavior patterns of traffic participants differ significantly from those in China and the United States, all of which increase the difficulty of localizing autonomous driving systems.

Implications for the Globalization of Autonomous Driving

This collaboration shows that the globalization of Robotaxi is no longer dominated solely by Chinese and American companies; emerging market platforms are introducing autonomous driving technology through cooperation. The export roles of Pony.ai and Nvidia also indicate that the autonomous driving industry chain is splitting into two layers: "technology suppliers" and "operations service providers." For ride-hailing platforms lacking self-development capabilities, cooperating with leading autonomous driving companies may be a more realistic path.

Whether the 2027 testing plan can proceed as scheduled depends on regulatory approval, technological maturity, and cost control. But this collaboration at least sends a signal: the next stage of Robotaxi competition may take place outside the traditional core markets of autonomous driving.

One-line Summary

inDrive partners with Pony.ai and Nvidia to test Robotaxi in Kazakhstan in 2027, driving the expansion of autonomous driving into emerging markets in Central Asia.

Paragraph Summary

Ride-hailing platform inDrive announced that it will launch Robotaxi testing in Astana, the capital of Kazakhstan, in the first half of 2027, using Pony.ai's autonomous driving system and Nvidia's computing platform. The three parties form an asset-light cooperation model of "technology + computing power + operations," contrasting with the asset-heavy path of self-built fleets like Waymo. This move marks Pony.ai's first entry into the Central Asian market, expanding its overseas footprint through technology export; Nvidia further consolidates its in-vehicle AI chip ecosystem. Astana's severe cold climate and complex road conditions provide real-world scenarios for technological generalization, but local autonomous driving regulations are not yet mature, and regulatory permits become key to the project's implementation. The article argues that the global competition of Robotaxi is spreading from traditional core markets in China and the United States to emerging markets.