The infrastructure behind AI is expanding quickly, but every new data center, manufacturing facility and energy project brings a complex layer of regulatory paperwork.
Dili has raised a $15 million Series A, bringing its total funding to $21.7 million after an earlier $6.7 million Seed round. The investment was led by Khosla Ventures, with participation from Allianz, Rebel Fund, Darren Bechtel of Brick & Mortar Ventures and Garry Tan of Y Combinator.
Founded in 2023 by Anand Chaturvedi, CEO, and Brian Fernandez, CTO, Dili helps infrastructure operators manage requirements covering prevailing wages, apprenticeships, certified payroll, workplace safety and environmental rules. Both founders previously worked at Coinbase, while Chaturvedi also conducted machine-learning research at Apple.
Dili uses AI to extract information from contracts, payroll systems, vendor files and other unstructured records. A separate deterministic rules engine then applies the relevant compliance requirements, reducing the risk of an AI model making the final regulatory decision.
The company says its platform is active across more than 700 projects spanning data centers, energy, construction and advanced manufacturing. It has processed more than $1.4 billion in wages and nearly 16,000 certified payroll reports. These figures are company-reported.
Dili is entering the market as investment in AI infrastructure increases demand for power, construction and regulatory oversight. As projects become larger and involve more contractors, funding requirements and compliance obligations, operators need better systems for monitoring records and identifying issues before they delay development.
The new capital will support hiring across engineering, product and go-to-market teams. Dili also plans to expand beyond wage and apprenticeship monitoring into wider audit and waste-detection workflows traditionally handled by consulting firms.
The round adds Dili to a growing group of AI startup funding stories focused on the operational systems surrounding major infrastructure projects. Its challenge will be proving that automated checks remain accurate as regulations vary across agencies, funding programs and project locations.
