AI compliance startup Dili announced in July 2026 that it has raised $15 million in Series A funding, bringing its total capital raised to $21.7 million following a previous $6.7 million seed round.
The Series A was led by Khosla Ventures, with participation from Allianz, Rebel Fund, Brick and Mortar Ventures’ Darren Bechtel, and Y Combinator’s Garry Tan. Dili was previously part of Y Combinator’s Summer 2023 batch.
The company targets compliance requirements for U.S. construction and infrastructure projects, particularly those receiving federal funding. Co-founder and CEO Anand Chaturvedi cited Davis-Bacon prevailing wage rules enforced by the Department of Labor, as well as separate prevailing wage and apprenticeship rules tied to clean energy projects funded under the IRA, and various OSHA and EPA requirements, as examples of the overlapping regulations its software addresses. “Non-compliance can result in millions of dollars of fines for those projects,” Chaturvedi said.
Dili’s system uses AI models at the data layer to convert unstructured documents into structured data, which is then processed by a deterministic rules engine. The approach is designed to avoid the unpredictability associated with large language models in final outputs. According to Chaturvedi, a compliance task that previously required a full day’s work can now be completed in minutes.
The software is currently deployed across approximately 700 projects, spanning manufacturing facilities and data centers. About half of those clients use Dili as an in-house software tool, while the other half outsource the compliance process entirely to the company under a contractor model. Chaturvedi expects the market to shift toward the software model over time as AI capabilities develop.
The fundraise comes as demand for new data centers and power infrastructure continues to grow, driving a corresponding increase in large-scale construction projects subject to complex federal compliance requirements.
Source: TechCrunch