Dili has raised $15 million in a Series A round led by Khosla Ventures, taking its total funding to $21.7 million as it expands an artificial intelligence platform designed to automate compliance work across major U.S. infrastructure projects. The round also included participation from Allianz, Rebel Fund, Brick and Mortar Ventures’ Darren Bechtel, and Y Combinator’s Garry Tan, building on an earlier $6.7 million seed financing. The company is targeting energy, construction, advanced manufacturing, and other capital-intensive industries where regulatory mistakes can threaten tax incentives, federal funding, and project economics.
Replacing Manual Compliance Reviews
Dili says conventional compliance audits often rely on periodic sampling, spreadsheets, and long review cycles that can leave errors undiscovered until they become expensive liabilities. Its platform instead analyzes complete project datasets in real time, covering payroll records, wage determinations, apprenticeship requirements, and other documentation associated with federally supported construction. According to the company, customers can reduce a process that previously required more than seven hours of weekly review to less than five minutes, while maintaining broader visibility across contractors, vendors, and project portfolios.
An AI and Rules-Based Architecture
The platform uses contemporary AI models to extract structured information from unstructured sources such as documents, emails, payroll systems, and enterprise software, rather than relying on generative AI to make final compliance decisions. Once the relevant information has been organized, a deterministic rules engine evaluates it against defined regulatory requirements, an approach intended to limit the unpredictability that can arise from large language models. This structure allows Dili to address requirements including prevailing-wage monitoring, apprenticeship compliance, Davis-Bacon obligations, certified payroll reviews, and audit-ready reporting.
Growing Adoption Across Infrastructure
Dili reports that its technology is supporting more than 700 projects and has processed over $1.4 billion in wages, 5.2 million labor hours, and nearly 16,000 certified payroll reports. The company says it has identified or prevented more than $50 million in fines and clawbacks across its customer base, including one case involving an estimated $6 million in potential Internal Revenue Service penalties. Customers named by the company include EDF, Radiance, Heelstone, and Borea, while its projects span energy developments, manufacturing facilities, data centers, and other large construction programs.
Expansion Beyond Wage Compliance
Founded in 2023 by Chief Executive Officer Anand Chaturvedi and Chief Technology Officer Brian Fernandez, Dili emerged from the founders’ experience with engineering, machine learning, and high-stakes operational systems. Chaturvedi previously developed products at Coinbase and conducted machine learning research at Apple, while Fernandez led engineering work supporting Coinbase’s core retail infrastructure. The fresh capital will support hiring across engineering, product, and go-to-market functions as Dili expands beyond prevailing-wage and apprenticeship monitoring into wider audit, assurance, and waste-detection workflows traditionally handled by major consulting firms.
Dili’s financing reflects growing investor interest in applying AI to the administrative and regulatory demands created by the expansion of U.S. energy, manufacturing, and data-center infrastructure. By combining automated document processing with rules-based compliance checks, the company aims to help project owners detect problems earlier, reduce dependence on manual sampling, and protect funding or tax benefits before mistakes escalate. Its next challenge will be maintaining accuracy and regulatory reliability as it broadens the platform, scales across more projects, and competes with established professional-services providers.