Geely Unveils EVA Cab Robotaxi Prototype at Auto China 2026

At the Auto China 2026 exhibition in Beijing, Geely Auto Group unveiled what it claims is China's first purpose-built robotaxi prototype, the EVA Cab. The vehicle was revealed alongside AFARI Technology and CaoCao Mobility, Geely's ride-hailing and shared mobility division.

This isn't just another concept car gathering dust in a showroom. Geely says the EVA Cab has already undergone pilot operations for more than a year in Hangzhou and Suzhou through CaoCao Mobility. A customized version is scheduled to launch in 2027, which gives the reveal more weight than a pure concept-car flight of fancy.

The EVA Cab is designed as a showcase for Geely's "Full-Domain AI 2.0" framework, bringing together autonomous driving hardware, in-car computing, vehicle-cloud security and software systems intended for future mobility services. The company says the prototype points to what it calls the future of new energy mobility through "embodied intelligence."

Inside the vehicle, Geely has leaned heavily into the futuristic lounge idea. The cabin features wide-opening electric sliding doors and a face-to-face layout, designed to maximise interior space and make the vehicle feel more like a mobile room than a private passenger car. There's a "Galaxy Skyroof" ceiling, "Drifting Galaxy" door panels and "Orchid Pavilion and Meandering Streams" armrests. It's all very theatrical, but the hardware claims are more serious.

According to the official Geely announcement, the EVA Cab includes what it calls the world's first "Quantum-Level AI Electronic and Electrical Architecture," the world's first 2160-line digital LiDAR system, and the industry's first mass-production-ready L4-level assisted driving software solution.

The new EEA 4.0 electrical and electronic architecture uses quantum encryption to provide vehicle-to-cloud security for features including Bluetooth keys, remote vehicle control, over-the-air updates and data privacy. It also includes SOVD, or Service-Oriented Vehicle-Cloud Integrated Diagnostics, intended to monitor and protect the vehicle across its life. That all sounds quite abstract, but the issue is real. As vehicles become more connected, more automated and more dependent on cloud systems, cybersecurity and software reliability become as important as crash structures and braking distances.

Geely says the EVA Cab is powered by three flagship chips: the NVIDIA SuperChip, NVIDIA Thor U and Qualcomm Snapdragon 8397. All three deliver combined computing power of more than 3,000 TOPS. That is intended to support the demands of L4 autonomous driving and what Geely describes as extreme driving scenarios.

TOPS, or trillions of operations per second, is a measure of AI computing power. In vehicles, it is often used to describe how much processing capacity a car has for autonomous driving and advanced driver assistance systems. The vehicle's digital LiDAR system is claimed to deliver 25.92 million points per second and a detection range of up to 600 metres.

Geely says the EVA Cab also uses AFARI G-ASD L4 software, which it says can enable fully unmanned shuttle services on open public roads. Independent reporting from The Driven corroborates the timeline and scope of the changes, noting the 2027 commercialisation target.

Of course, robotaxi claims always deserve a healthy dose of caution. The global autonomous vehicle industry has spent the better part of a decade discovering that replacing a human driver is much easier in investor presentations than in actual traffic. (We've all seen the demo videos that never quite translate to real-world conditions.)

But Geely is not starting from zero. The company says it has been developing foundational AI models since 2021, when it launched the Xingrui AI Large Model as part of its "Smart Geely 2025" strategy. It also says its Xingrui Intelligent Computing Center, established in 2022, now has computing power of 23.5 EFLOPS, which Geely claims ranks first among Chinese automakers.

Geely's latest AI push includes its WAM, or World Behaviour Model, which it presented at CES 2026. The company describes WAM as a kind of "vehicle brain" that coordinates intelligent cockpit systems, advanced driver assistance and sub-domain agents across areas such as chassis, powertrain and body control.

This is where the press release takes a confident step into the misty valley of AI vocabulary, but the underlying direction is important. Geely is talking about vehicles where the cockpit, driver assistance, chassis, powertrain and body systems are no longer separate islands, but part of a coordinated software architecture.

That could matter enormously for future EVs. The next stage of electric vehicle development is not just about bigger batteries and faster charging, though those still matter. It is increasingly also about how intelligently the vehicle manages energy, traction, cabin systems, safety, charging, driver assistance and user interaction.

At its Beijing stand, Geely also showed a broader technology ecosystem including 900V electric architecture, 12C ultra-fast charging technology, solid-state batteries, intelligent cockpits, AI bipedal robots and future assisted-driving solutions designed for mobility services. The broader message from Beijing is that Geely wants to be seen less as a traditional vehicle manufacturer and more as an intelligent mobility technology company.

For international buyers, the EVA Cab itself is unlikely to be the immediate story. Purpose-built robotaxis are not about to start roaming suburban streets next week asking passengers whether they prefer "Drifting Galaxy" or "Meandering Streams." The technologies Geely is showing including high-voltage EV architecture, ultra-fast charging, intelligent cockpits, advanced driver assistance, vehicle-cloud systems and AI computing will trickle down to consumer vehicles first.

Whether users actually pay for it remains the real question. Robotaxi services have struggled with unit economics for years, and adding quantum encryption and 3,000 TOPS of computing power doesn't automatically solve the fundamental challenge of making autonomous rides cheaper than human-driven ones. Geely has the CaoCao Mobility platform to deploy these vehicles, but the market will be the final judge.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn