Evos raises $9M to build AI workers trained by human experts

Evos, a startup building AI-powered autonomous workers, has raised $9 million in pre-seed funding led by Uncork Capital and Field Ventures, with participation from Crosslink Capital and Utopia Capital. The company aims to automate tasks by training its AI systems on the expertise of experienced employees.

The approach differs from large-scale enterprise automation tools by targeting organizations that may lack the resources to deploy complex AI infrastructure. Evos’ pitch centers on preserving and scaling institutional knowledge—often lost when long-tenured employees leave—by encoding their decision-making into AI agents. SiliconANGLE reported the round today, noting the company’s emphasis on learning from human workers rather than replacing them outright.

While AI-driven automation is a competitive space, Evos’ pre-seed stage suggests it’s still early in proving its model. The funding follows recent activity in autonomous systems, including Viabot’s $24 million Series A for property maintenance robots and Waabi’s push into autonomous trucking. Unlike those hardware-heavy plays, Evos appears to be software-first, though details on its product remain limited.

The round’s size and investor backing indicate confidence in the concept, but the challenge will be demonstrating that AI can reliably replicate nuanced human expertise in real-world environments. For now, the company joins a growing wave of startups betting that AI’s next frontier isn’t just efficiency, but knowledge transfer.

Sources: siliconangle.com