Dili raises $15M for infra compliance AI
Dili's Series A, led by Khosla Ventures, brings its total to $21.7M for software that checks federally funded construction projects against labor rules.
Dili, an AI compliance startup focused on federally funded infrastructure projects, raised $15 million in a Series A led by Khosla Ventures, with Allianz, Rebel Fund, Brick and Mortar Ventures’ Darren Bechtel, and Y Combinator’s Garry Tan participating; the round follows a $6.7 million seed, bringing total funding to $21.7 million. Dili, a Y Combinator Summer 2023 alum, targets the tangle of rules governing federally backed construction, including Davis-Bacon prevailing-wage requirements and the separate prevailing-wage and apprenticeship rules that apply to IRA-funded clean-energy projects. CEO Anand Chaturvedi said the architecture deliberately limits AI models to the data layer, turning unstructured documents into structured data, while a deterministic system applies the compliance rules, to avoid LLM errors reaching the final compliance decision. Chaturvedi says the software is already deployed across roughly 700 projects, split about evenly between in-house use and outsourced contractor use.
What it means for operators
Dili’s core design choice, keep the LLM confined to document extraction and let a deterministic system make the actual compliance call, is a pattern worth borrowing for any regulated workflow where an AI mistake carries real financial or legal exposure. If you’re evaluating “AI for compliance” vendors more broadly, ask each one exactly where the LLM’s output stops and a deterministic check begins.