Singapore’s Grab is steering into the autonomous mobility lane, but with a distinctly human twist. The super-app giant is set to back Berlin-based remote-driving startup Vay with up to $410 million, forming a bridge between today’s ride-hailing and tomorrow’s self-driving future.
Grab will provide $60 million upfront, while the remaining $350 million hinges on performance milestones such as U.S. city launches, regulatory clearances, and user-revenue targets. This staged funding approach mirrors a growing trend in advanced mobility investment, rewarding tangible progress rather than grand promises. For Grab, which doesn’t operate in the U.S., this is a strategic play to back a mobility model that could prove globally scalable without direct market exposure.
Vay’s hybrid model blends human skill with tech
Vay’s model is simple yet different from typical robotaxi ventures. Its cars are remotely operated by trained “teledrivers” who deliver the vehicle to your doorstep. You then drive it yourself, and once finished, another operator retrieves it. No parking, no waiting. This hybrid system costs roughly half the price of ride-hailing and skips the heavy autonomy hardware stack.
Currently based in Las Vegas, Vay is expanding beyond its European roots after regulatory success in Germany.
The appeal lies in balance. Teleoperation reduces idle time, helps reposition cars efficiently, and cuts operational waste, all without the safety and legal hurdles that fully autonomous systems face. By centralising the driving component, Vay resembles a logistics network more than a science experiment, with repeatable city-by-city expansion potential.
Why Grab Is betting on autonomy
The Southeast Asian super-app spans transport, delivery, and finance, and technologies like Vay’s could lower per-trip costs while generating rich driving and mapping data. Beyond funding, the two companies plan to explore how Vay’s data can feed Grab’s work in AI-driven fleet optimisation and autonomy readiness across the region.
The timing couldn’t be more competitive. Waymo is expanding across the U.S., while Nvidia just poured $500 million into Wayve, underscoring investor appetite for real-world autonomous solutions. Vay’s differentiated “human-in-the-loop” model offers an appealing middle ground, scalable, revenue-generating, and less capital-intensive than pure robotaxi bets.
Still, challenges persist. Remote driving depends on reliable connectivity, operator training, and seamless control transitions. Regulatory approvals remain city-specific and often slow-moving. But if Vay can prove it can replicate success in multiple U.S. markets with solid unit economics, it will position itself as a rare execution story in a space long defined by moonshots.
