Autolane Raises $7.4M for Autonomous Vehicle 'Air Traffic Control'

The burgeoning era of robotaxis and autonomous vehicles promises to reshape daily life, from driverless commutes to automated grocery pickups. However, seamless integration hinges on precise coordination, especially during critical "handoff moments" like where a vehicle should stop for a delivery. Palo Alto-based startup Autolane is tackling this challenge head-on, developing an essential infrastructure layer, and has just secured $7.4 million in funding to accelerate its mission.

With support from VC firms like Draper Associates and Hyperplane, Autolane's initial strategy focuses on coordinating designated pickup and drop-off zones for robotaxis on private property. The company has already inked a significant deal with Simon Property Group, the world's largest retail real estate investment trust (REIT), to manage driverless vehicle movements at their shopping centers in Austin, Texas, and San Francisco, California. This partnership aims to streamline operations for autonomous vehicle providers and property owners alike.

This comprehensive solution involves both physical infrastructure, such as clear signage akin to modern airport or hotel ride-share stanchions, and sophisticated software.

“I believe we are one of the first, let’s say, ‘application layer’ companies in autonomy,” Autolane co-founder and CEO Ben Seidl told TechCrunch in an exclusive interview. “We aren’t the fundamental models. We’re not building the cars. We’re not doing anything like that. We are simply saying, as this industry balloons rapidly and has exponential growth—as is already occurring this year and will occur for the next 10 years straight—someone is going to have to sit in the middle and orchestrate, coordinate, and kind of evaluate what’s going on.”

While initially focused on robotaxis, Seidl envisions Autolane's technology applying to a wide array of future autonomous vehicle tasks. He aims for rapid expansion, noting the current absence of direct competition, though he anticipates this will soon change.

Seidl's conviction solidified after experiencing Tesla's Full Self-Driving (Supervised) software firsthand last year. "As soon as my own personal car was driving me around town, pretty much flawlessly, I just—my head kind of exploded," he recounted. "I was mostly enthralled by the idea that this was going to change logistics, retail, real estate, where we work, where we live, where we play, how we get around, what the price of movement of goods and services and people will be."

He points to incidents like the viral Waymo robotaxi getting trapped in a Chick-fil-A drive-through in Santa Monica, California, as a prime example of the "chaos" Autolane aims to prevent. By using Autolane's software to designate precise pickup and drop-off locations, such operational snags can be avoided. "Someone has got to bring some order to this chaos, and the chaos is already starting," Seidl emphasized.

While creating a simple sign might seem straightforward, Seidl argues that the needs of autonomous vehicles are far more complex. "Anyone can do that," he conceded regarding basic signage. "That’s not the case, though, for autonomy. Robotics need precise instructions and precise geolocation and technological communication. You can’t just put up a white sign with some black letters and hope for the best with 10 different types of robotics coming in."

Autolane's true value lies in its ability to integrate seamlessly with both real estate owners and autonomous vehicle providers. The company plans to develop APIs for physical locations, enabling AV companies to receive the precise instructions necessary for smooth operations. This approach ensures businesses can "directly integrate into each one of these robotics companies, car companies, so that they follow your rules," Seidl stated.

Crucially, Seidl emphasized Autolane's focus on private property, explicitly avoiding work with cities or municipalities. "We don’t work on public streets. We don’t work with public parking spots," he clarified. "We’re just providing these tools as kind of a B2B, hardware-enabled SaaS solution so that Costco, or McDonald’s, or Home Depot, or, in our case, Simon Property Group, the world’s largest retail REIT, can begin to have what I like to refer to as ‘air traffic control for autonomous vehicles,’ meaning they know which ones are incoming and outgoing."