AI startup Evos has raised $9 million in pre-seed funding to build autonomous software operators for small and midsize industrial businesses, with freight brokerages high on its target list, the company announced Wednesday.

The round was co-led by Uncork Capital and Field Ventures, with participation from Crosslink Capital, Utopia Capital Management, Sandwith Ventures and angel investors. Evos did not disclose its valuation or customer count.

The commercial hook for brokers sits in one number: Evos said it passed $1 million in annual recurring revenue four weeks after launching. That traction, plus the pre-seed size, signals investors are willing to back automation aimed at companies too small for traditional enterprise implementations.

What does the technology actually do?

Evos is developing AI operators that learn how employees make decisions and carry out specific business functions inside a company's existing systems. Rather than prompting a tool for every task, the operators are designed to run an assigned function independently once their decisions consistently match those of experienced workers.

The approach targets smaller industrial businesses where operational knowledge lives in people's heads rather than documented procedures.

"The most capable system in many of these businesses is the person who has been there 20 years, and what they know has never been written down," said Urav Shah, founder and CEO of Evos.

The market is large. Per the company's announcement, 99.3% of U.S. motor carriers operate fewer than 100 trucks, and 93% of U.S. manufacturers have fewer than 100 employees. Evos argues these businesses need automation that skips lengthy implementation projects.

"The platform is fully self-serve: work that would take a consultant or an implementation partner 9 to 18 months to deliver, an Evos operator takes on in 24 hours from discovery to deployment," the company said.

How did it perform at a brokerage?

The proof point comes from MyFreightWorld, a freight brokerage using an Evos operator to audit less-than-truckload carrier invoices against its transportation management system.

Over two months, the operator made nearly 3,500 audit decisions with 97% accuracy, Evos reported. It identified billing discrepancies valued at more than $600,000 during the most recent five-week period. Caveats matter here:

• The $600,000 represents the value of discrepancies identified between invoices involving MyFreightWorld and its end customers, not money recovered or savings realized.
• Evos did not explain how it calculated the 97% accuracy rate or specify the sample used to measure performance.

LTL invoice audits routinely surface errors in accessorial fees, fuel surcharges and freight classifications. A 2024 analysis by AFS Logistics found 11,881 errors in a review of nearly 250,000 invoices. Inaccurate accessoral charges accounted for 42.8% of the errors, followed by fuel surcharges at 14.4% and freight misclassification at 12.3%. The findings reflect AFS's review, not the entire LTL market.

Can AI operators clear the ROI bar?

Evos arrives as logistics companies hunt for measurable returns on AI spending — and mostly fail to find them. A Boston Consulting Group report published in August 2026 found that only 13% of executives surveyed at 30 leading global logistics companies said AI was delivering measurable financial results. Two-thirds of respondents reported a dedicated AI budget and strategy.

That gap between investment and payoff defines the challenge. For smaller operators, cost and implementation complexity often decide whether automation is practical at all. Evos is betting that software which learns established workflows and executes tasks within existing systems — no rip-and-replace, no consultant — can lower those barriers.

For brokers and carriers, the pitch is straightforward: audit work, invoice checking and similar routine back-office tasks could shift to software trained on their own staff's decisions. The open question is verification. Evos has not disclosed how much money its technology has actually recovered at MyFreightWorld, and its 97% accuracy claim carries no published methodology.

Until operators like these show audited, recovered dollars rather than identified discrepancies, the $9 million bet rests on early revenue growth and one unnamed brokerage's invoice data. Shah's team now has the capital to prove both numbers hold up at scale.