AI Freight Roll-Up: Why Fura Bought High-Rise

Fura’s seventh acquisition is here: High-Rise joins an AI-driven freight brokerage roll-up focused on small and midsize players. Jeff Dangelo breaks down why Fura targets sub-$30 million brokerages, how the company says it can onboard an acquisition in about a week, and where agentic AI is already booking nearly 40% of carriers. If you’re watching freight brokerage M&A, automation, or broker margins, this is the takeaway. #FreightBrokerage #LogisticsTech #FreightWaves

Fura has acquired Highrise, a Washington state-based freight brokerage, marking the company’s seventh acquisition as part of a deliberate strategy to buy small and mid-sized brokerages and automate operations using artificial intelligence. CEO Jeff Dangelo said Fura targets brokerages under $30 million in revenue — a segment largely ignored by private equity — and uses AI to unlock operating improvements of 2 to 10 times EBITDA.

The deal underscores a broader thesis: that the long tail of freight brokerages, which account for roughly 12% of industry revenue outside the top 1,000 brokers, are structurally underequipped. “88% of the revenue is coming from the top 1,000 sort of brokers in our industry,” Dangelo said, noting that smaller shops often carry debt, lack compliance infrastructure, and have not found a scalable growth model.

Dangelo outlined a four-step integration playbook that begins with deep carrier compliance diligence, followed by wiring up the acquired business on day one using AI to structure previously unstructured data. Step three deploys agentic AI to handle carrier communications — nearly 40% of booked carriers are now sourced through AI agents operating via email, text, and phone. The fourth step gives the acquired brokerage’s shipper customers access to Fura’s visibility technology.

“It takes us about a week to onboard the new businesses. I remember Brad Jacobs used to say it takes them about 2 years to integrate. It takes us about a week because the technology does a lot of the work,” said Dangelo.

The speed of integration is central to Fura’s valuation arbitrage. The company’s selling, general, and administrative costs run between 35% and 40%, compared to an industry range of 65% to 85% or higher. D’Angelo pointed to one acquisition completed a couple of years ago: the brokerage had $26 million in revenue when Fura first engaged it, had declined to $12 million by the time of closing, and has since grown to over $30 million. Its headcount dropped from roughly 30 people to six as automation absorbed manual tasks.

Fura’s overall revenue has grown from $10 million to over $100 million over the past two years, with Dangelo stating that 50% of that growth was organic rather than acquisition-driven. He described the addressable opportunity as “a many-billion-dollar opportunity to sort of supercharge businesses that couldn’t have done it on their own.”

On post-Montgomery compliance risk — a growing liability concern for small brokerages — Dangelo said most sub-$30 million shops still rely on manual carrier vetting through tools like SaferSys. Fura checks every shipment programmatically in seconds rather than minutes or hours, with a human review as a final sign-off. “Speed is everything,” Dangelo said. “Speed is the difference between booking a truck and not booking a truck.”

• Fura completed its 7th brokerage acquisition with Highrise, targeting sub-$30M revenue brokerages it can onboard in roughly one week using AI.
• Nearly 40% of Fura’s booked carriers are now sourced through agentic AI via email, text, and phone, with SG&A costs of 35–40% versus an industry norm of 65–85%-plus.
• Fura grew from $10M to over $100M in revenue over two years, with half of that growth coming organically rather than through acquisitions.

This Summary is generated thanks to a transcription of the interview, for the full interview please enjoy the video above.