Humble Robotics raises $24M for cabless autonomous trucks

Key Takeaways

• Humble Robotics emerged from stealth with $24 million to build fully autonomous, cabless electric haulers for freight
• CEO Eyal Cohen's experience spans Otto, Uber's AV program, and Pronto, giving him a front-row seat to the first AV hype cycle
• Vision models now replace months of hand-coded engineering for object recognition, accelerating development timelines

Humble Robotics left stealth in April with $24 million and a bet that the autonomous vehicle industry finally has the technology it promised a decade ago. The startup is building a fully autonomous, cabless electric hauler for freight, and its CEO Eyal Cohen has the scars from the first AV wave to prove he knows what went wrong.

Cohen joined TechCrunch's Equity podcast to explain why this cycle feels different. His argument: vision models now handle object recognition that used to require months of hand-built engineering. Traffic cones, stop signs, pedestrians. All the edge cases that made the 2016 generation of AV companies stumble are now solvable with neural networks rather than brittle rule-based code.

Why go cabless?

Humble's design strips out the cab entirely. No steering wheel, no seats, no climate control for a human driver who doesn't exist. Cohen calls it "the simplest possible robotics platform." By removing the human-centric components, the company sidesteps an entire category of regulatory and engineering complexity. The vehicle doesn't need to accommodate a safety driver during testing or a fallback manual mode.

This approach makes sense for controlled freight environments. Port yards, distribution centers, private logistics corridors. Places where routes are predictable and pedestrian traffic is minimal. Humble isn't trying to solve San Francisco streets. It's solving the last mile of industrial supply chains.

Cohen's path through the AV graveyard

Cohen's resume reads like a timeline of autonomous vehicle history. He was at Otto when Uber acquired the self-driving truck startup in 2016 for roughly $680 million. That deal turned toxic when Waymo sued Uber for trade secret theft, resulting in a $245 million settlement and founder Anthony Levandowski's federal conviction.

Cohen later followed Levandowski to Pronto, which focused on aftermarket autonomous systems for existing trucks. Two decades of bouncing between electrification, solar, and robotics startups in the Bay Area taught him what works and what doesn't.

"The money's flowing back," TechCrunch noted in framing the interview, "and it's the people who lived through that first wave who are building the next one." Cohen fits that pattern exactly.

Is this 2016 all over again?

The parallels are hard to ignore. Travis Kalanick is back building a robotics company. Talent wars are intensifying. Capital is flooding into the sector. Every ingredient of the last hype cycle is present.

But Cohen argues the technology gap has closed. In 2016, companies made promises their systems couldn't keep. Demos looked impressive; real-world deployments failed. The difference now is that foundation models trained on massive datasets handle perception tasks that once required years of manual annotation and custom code.

Whether that's actually true remains to be seen. The AV industry has a credibility problem built on a decade of missed deadlines. Elon Musk predicted full self-driving would arrive by 2017, then 2018, then 2020, then "next year" for several more years. Waymo and Cruise spent billions before achieving limited commercial operations. GM shut down Cruise's robotaxi service entirely after a pedestrian-dragging incident in San Francisco.

Culture over compensation

On the podcast, Cohen made a claim that would raise eyebrows in any competitive hiring market: culture beats compensation when securing robotics talent. In an industry where senior engineers command mid-six-figure packages and equity grants worth millions, that's a bold statement.

His reasoning likely connects to burnout. The first AV wave burned through engineers on unsustainable timelines, shipping demos rather than products. Many talented people left the industry entirely. Those who stayed are now selective about where they work. They've seen companies implode and they want to avoid repeating the experience.

For a startup with $24 million, competing on salary against Waymo or Tesla isn't realistic anyway. Selling the mission and the team is the only play.

What to watch next

Humble Robotics joins a crowded field of autonomous freight startups, including TuSimple, Aurora, Kodiak, and Gatik. Each has different approaches to the regulatory and technical challenges. The cabless design is Humble's differentiator, but it also limits the company's addressable market to private or semi-private environments.

The $24 million seed round suggests investors see something real. But in AV, early funding rarely correlates with eventual success. The graveyard is full of well-funded companies that never shipped.

Frequently Asked Questions

What is Humble Robotics building?

Humble Robotics is developing a fully autonomous, cabless electric hauler designed for freight operations in controlled environments like ports and distribution centers.

How much funding has Humble Robotics raised?

The company emerged from stealth in April 2026 with $24 million in funding to develop its autonomous freight vehicles.

Who is Eyal Cohen?

Eyal Cohen is the founder and CEO of Humble Robotics. He previously worked at Otto during Uber's acquisition, followed Anthony Levandowski to Pronto, and has spent two decades in deep tech startups across electrification, solar, and robotics.

Why is the autonomous vehicle industry heating up again in 2026?

According to industry observers, advances in vision models and AI have closed the technology gap that caused the 2016 AV wave to underdeliver. Capital is returning, talent wars are intensifying, and veterans of the first cycle are launching new companies.

What makes Humble's approach different from other AV companies?

Humble's cabless design eliminates human-centric components entirely, simplifying both the vehicle and the regulatory path. The company is targeting industrial freight environments rather than public roads.

Source: Startups | TechCrunch