Evos raises $9M to build AI operators for industrial businesses
Evos raised $9 million in pre-seed funding to develop AI operators that learn employees' workflows and perform tasks within existing business software. One freight brokerage has used the technology to make nearly 3,500 invoice-auditing decisions in two months, according to the startup. The post Evos raises $9M to build AI operators for industrial businesses appeared first on FreightWaves .
AI company Evos secured $9 million in pre-seed funding to create autonomous software operators for small and mid-sized industrial businesses. These operators will automate routine tasks without necessitating businesses to replace their current software. The funding round was led by Uncork Capital and Field Ventures, with support from Crosslink Capital, Utopia Capital Management, Sandwith Ventures, and angel investors.
Evos reported achieving $1 million in annual recurring revenue just four weeks after launching. However, the company has not disclosed its valuation or the number of customers utilizing its platform. Evos' technology creates AI operators that learn from employees' decisions and replicate their work within existing systems, targeting businesses where operational expertise resides within experienced employees rather than documented processes.
The founders of Evos, led by Urav Shah, argue that many small freight brokerages and manufacturers lack the technical resources and time for extensive implementation projects. According to the company's announcement, 99.3% of U.S. motor carriers operate with fewer than 100 trucks, and 93% of U.S. manufacturers have fewer than 100 employees.
A freight brokerage called MyFreightWorld is already using an Evos operator to verify LTL carrier invoices against its transportation management system. The operator made over 3,500 audit decisions over two months with 97% accuracy, identifying billing errors totaling more than $600,000 during the most recent five-week period. However, the accuracy rate and sample size used for performance measurement were not disclosed.
LTL invoice audits can uncover billing errors related to accessorial fees, fuel surcharges, and freight classifications. In a 2024 analysis by AFS Logistics, they identified 11,881 errors in a review of nearly 250,000 invoices, with inaccurate accessorial charges accounting for 42.8% of the errors. Despite the investment in AI by logistics companies, only 13% of executives surveyed by Boston Consulting Group in August 2026 said AI was delivering measurable financial results.
The startup's approach aims to lower barriers to automation for smaller operators who find AI implementation costly and complex.
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