AI startup Evos raised $9 million in pre-seed funding to develop autonomous software program operators for small and midsized industrial companies, together with freight brokerages, the corporate introduced Wednesday.
This comes as the corporate appears to automate routine work with out requiring companies to interchange their present software program.
The spherical was co-led by Uncork Capital and Subject Ventures, with participation from Crosslink Capital, Utopia Capital Administration, Sandwith Ventures and angel traders.
Evos stated it surpassed $1 million in annual recurring income 4 weeks after launching. The corporate didn’t disclose its valuation or the variety of clients utilizing its platform.
The way it works
Evos is creating AI operators that find out how workers make choices and perform particular enterprise features inside an organization’s present programs. Somewhat than requiring workers to immediate an AI software for each job, the operators are designed to handle an assigned perform independently as soon as their choices constantly match these of skilled employees.
The strategy targets smaller industrial companies the place operational information usually rests with skilled workers slightly than documented procedures. Evos stated its operators study from workers’ habits and choices, with the aim of reproducing their work earlier than taking up duties autonomously.
“Essentially the most succesful system in lots of of those companies is the one that has been there 20 years, and what they know has by no means been written down,” stated Urav Shah, founder and CEO of Evos.
Based on the corporate’s announcement, 99.3% of U.S. motor carriers function fewer than 100 vehicles, whereas 93% of U.S. producers have fewer than 100 workers. Evos argues that these companies want automation that doesn’t require in depth technical sources or prolonged implementation initiatives.
“The platform is totally self-serve: work that may take a guide or an implementation associate 9 to 18 months to ship, an Evos operator takes on in 24 hours from discovery to deployment,” the corporate stated.
One freight brokerage, MyFreightWorld, is utilizing an Evos operator to audit less-than-truckload (LTL) service invoices towards its transportation administration system. Evos stated the operator made practically 3,500 audit choices over two months with 97% accuracy and recognized billing discrepancies valued at greater than $600,000 over the latest five-week interval. The $600,000 represents the worth of discrepancies recognized between invoices involving MyFreightWorld and its finish clients, slightly than cash recovered or financial savings realized, Evos famous. The corporate didn’t clarify the way it calculated the 97% accuracy fee or specify the pattern used to measure efficiency.
Broader context
LTL bill audits can uncover billing errors involving accessorial charges, gas surcharges and freight classifications.
A 2024 evaluation by AFS Logistics illustrates the quantity of discrepancies that may come up in LTL billing. The corporate discovered 11,881 errors in a evaluation of practically 250,000 invoices. Inaccurate accessorial prices accounted for 42.8% of the errors, adopted by gas surcharges at 14.4% and freight misclassification at 12.3%. The findings replicate AFS’s evaluation slightly than the whole LTL market.
The startup’s strategy comes as logistics firms proceed to hunt measurable returns from AI investments. A Boston Consulting Group report printed in August 2026 discovered that solely 13% of executives surveyed at 30 main international logistics firms stated AI was delivering measurable monetary outcomes, regardless of two-thirds of respondents reporting a devoted AI finances and technique. The findings spotlight the hole between investing in AI and translating that funding into measurable enterprise outcomes.
For smaller operators, the fee and complexity of implementation also can decide whether or not automation is sensible. Evos is betting that software program able to studying established workflows and executing duties inside present programs can decrease these obstacles.
Why this issues
AI startups are more and more focusing on routine logistics work, however proving that automation delivers measurable monetary outcomes stays a problem. Evos’ work with MyFreightWorld provides a particular instance of how AI operators might be utilized in freight brokerage operations, although the startup has not disclosed how a lot cash the expertise has recovered or independently verified its reported accuracy fee.
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