Evos Raises $9M Pre-Seed Funding to Deploy AI Operators That Learn From Veteran Workers

Evos Emerges From Stealth With $9M Pre-Seed Funding

Evolutionary Operating System, Inc. (Evos) has emerged from stealth with $9M in pre-seed funding to deploy autonomous AI operators across the physical economy1

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. The round was co-led by Uncork Capital and Field Ventures, with participation from Crosslink Capital, Utopia Capital Management, Sandwith Ventures, and angel investors1

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. The startup's agentic operations platform, called Workhorse, enables small and mid-sized businesses in manufacturing, freight and logistics to build autonomous workers that learn from their most experienced employees2

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Addressing Critical Knowledge Transfer in Physical Industries

The physical economy faces a mounting crisis as institutional knowledge walks out the door with retiring workers. Small and mid-sized businesses dominate this sector—99.3% of US motor carriers operate fewer than 100 trucks, and 93% of US manufacturers employ fewer than 100 people1

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. These companies run on the judgment of seasoned veterans who have built expertise over decades, knowledge that is rarely documented. "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 Evos1

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. As these skilled workers retire faster than they can be replaced, businesses need a way to preserve and scale that expertise2

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How Evos Autonomous Operators Master Jobs Through Observation

Evos takes a fundamentally different approach from typical AI agents. Instead of being assigned tasks and told to execute, Evos operators begin by observing. Each autonomous worker is given a specific function to master—answering broker calls, chasing missing paperwork, reconciling carrier invoices, or building freight loads2

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. The operators learn from behavior and decision-making patterns, not text, sitting behind an "approval gate" where humans review, approve, modify or reject every decision2

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. Only after an operator proves its decisions consistently match the team's expertise does it take on work autonomously1

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. The platform achieves what Evos calls the Trifecta: one hour with company experts, a working operator the next day, and measurable results within a month1

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Real-World Performance in Freight Brokerage Operations

MyFreightWorld, a freight brokerage, deployed an Evos operator to audit every less-than-truckload carrier invoice against its transportation management system. In its first two months, the autonomous worker made nearly 3,500 audit decisions at 97% accuracy1

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. In just five weeks, it processed more than $600,000 in invoice value—work that would have consumed dozens of human hours2

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. "Evos has helped us revolutionize our billing process with zero upfront investment, and also at an impressively fast speed measured in days and weeks," said Mike Chalfant, president of MyFreightWorld1

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. The average Evos operator achieves roughly 82% decision accuracy after just 24 hours of learning, at which point it can handle around 70% of a human's daily workload fully autonomously2

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Rapid Growth and Market Positioning

Evos reached $1M in annual recurring revenue just four weeks after going live with select customers1

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. The company plans to make the Workhorse platform generally available later this year and will use the pre-seed funding to scale that rollout and grow its team2

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. The platform is fully self-serve, enabling deployment in 24 hours from discovery to deployment—work that would typically take a consultant or implementation partner 9 to 18 months1

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. "For decades, software sold to industrial businesses has helped people organize and track work, but it has stopped short of doing the work," said Richard Kerby, partner at Field Ventures. "Evos changes that. Its autonomous operators learn the judgment behind how a business runs, work within existing systems, and take ownership of entire operational functions"1

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. Tripp Jones, general partner at Uncork Capital, emphasized that Evos puts powerful technology within reach of businesses that software has long overlooked1

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