A former Uber Freight product manager just closed a $17 million Series A to shake up America's $800 billion trucking industry. FleetWorks is using AI to instantly match cargo with carriers, cutting through the dozens of calls and emails that currently bog down small trucking companies. The kicker? The round was led by the same investor who backed Uber's seed round 15 years ago.
FleetWorks just proved that sometimes the best way to disrupt an industry is to understand it from the inside. Co-founder Paul Singer spent years watching Uber Freight try to modernize trucking logistics before deciding to build his own solution - one that speaks the language truckers actually use.
The startup's $17 million Series A, led by First Round Capital's Bill Trenchard, validates a simple but powerful thesis: America's thousands of small trucking companies don't need another rigid software platform. They need AI that adapts to how they already work.
"Traditional software is just not good at this," Trenchard told TechCrunch. "You're structuring data before you even know exactly all of the elements that you need to structure, and you're pushing people through your cheese grater." The investor, who led Uber's seed round in 2010, sees FleetWorks as the AI-native approach logistics has been waiting for.
The numbers back up that confidence. Since launching from Y Combinator's Summer 2023 batch, FleetWorks has pulled over 10,000 carriers and dozens of brokers - including Singer's former employer Uber Freight - onto its marketplace. That's serious traction in an industry known for being slow to adopt new technology.
But FleetWorks isn't trying to reinvent trucking communication. Instead, it's making the existing chaos work better. Singer's team built AI agents that handle the intricate dance of matching cargo with drivers across multiple channels - phone calls, text messages, portal conversations, whatever each carrier prefers.
"Do they want a phone call? Do they want a text message? Do they want to come to our portal and talk to an agent there?" Singer explained to TechCrunch. The AI then digs into the details that make or break actual deliveries: Will the driver be near the pickup location? Does the facility require steel-toed boots? Does the trucker need to be home by Friday for family time?
Those human touches matter in an industry where small family-owned fleets still dominate. Singer and co-founder Quang Tran, who worked on moonshot projects at Airbnb, realized that successful AI implementation isn't just about the technology - it's about change management.
"We've gotten really good at AI implementation in addition to just building the core agents," Singer said, drawing from lessons learned during his Uber Freight days. The company's "always-on" AI dispatcher, launched alongside the funding announcement, pulls data from specialized background models to cut down on hallucinations while handling the fluid nature of freight logistics.
The competitive landscape is heating up fast. Oway, another Y Combinator graduate, is building what it calls "Uber for freight" to optimize truck capacity. Uber Freight itself is deploying customized large language models to help Fortune 500 customers sort through logistics data. Flexport, the global shipping giant, rolled out its own AI toolset earlier this year.
But FleetWorks is betting on a different approach - one that fits into existing workflows rather than forcing behavioral changes. "One of the things we've been excited about with AI just as a general thing is it's fitting into the behaviors that people already have," Trenchard noted. "It's not requiring you to change how you do business."
The Series A funding, which also included participation from Y Combinator, Saga Ventures, and LFX Venture Partners, will fuel hiring, commercial expansion, and product development. For Singer, who jokes about feeling like an "old head" after hiring engineers who haven't seen the original Shrek movie, it's validation that young software talent wants to solve problems in the physical world.
The timing couldn't be better. American freight logistics is a massive market - worth over $800 billion annually - but still runs on surprisingly analog processes. Small carriers, which handle the majority of freight movement, often spend more time coordinating loads than actually moving them. FleetWorks is betting that AI can flip that equation, giving drivers more time on the road and brokers more efficient matches.
FleetWorks represents a new breed of logistics AI - one that works with truckers rather than against their established workflows. With significant early traction and backing from proven investors, the startup is positioned to capture meaningful market share as the $800 billion freight industry finally embraces intelligent automation. The real test will be whether FleetWorks can scale its personalized approach while maintaining the human touches that small carriers value most.