Dili Raises $21.7 Million for AI Compliance in Infrastructure Projects

The startup is applying automated document review to the permitting and regulatory work behind data centers and other large developments.

By The Company WireJuly 30, 20262 min read

Dili — Dili Raises $21.7 Million for AI Compliance in Infrastructure Projects. Gas turbines made by GE Vernova, at the on-site natural gas plant under construction during a media tour of the Stargate AI data center in Abilene, Texas, US, on Tuesday, Sept. 23, 2025. Stargate is a collaboration of OpenAI, Oracle and SoftBank, with promotional support from President Donald Trump, to build data centers and other infrastructure for artificial intelligence throughout the US. Photographer: Kyle Grillot/Bloomberg.

Dili has raised $21.7 million to expand an AI platform designed for compliance work in large infrastructure projects. The company is targeting a market strained by rapid construction of data centers, energy facilities and other developments that require extensive permitting, technical documentation and continuing regulatory review.

Infrastructure compliance is difficult to automate because relevant information is spread across engineering files, permit applications, environmental reports and changing local rules. Delays can idle expensive construction teams or expose an owner to penalties. Dili's product is intended to organize those materials, identify requirements and help teams track whether evidence is complete.

The opportunity is growing with the AI infrastructure boom. Data-center developers are seeking power, land and equipment at unprecedented scale, often in regions where agencies and utilities already face staffing constraints. Software that reduces repetitive review could shorten timelines, but it cannot replace the technical judgment of licensed engineers or public authorities.

The financing gives Dili resources to improve integrations and expand across project types. The company will need to prove that its models can handle jurisdiction-specific rules and produce traceable results. In compliance work, a confident but unsupported answer is more dangerous than a slow manual process.

Infrastructure developers often work with consultants, law firms and engineering contractors that use different document systems. Dili's integrations will therefore matter as much as its model performance. A project team will resist another isolated portal unless the product can ingest existing records and return structured outputs without breaking established filing and approval workflows.

Infrastructure compliance involves high-value decisions about permits, environmental review, contracts and financing. Dili can help teams find obligations and compare documents, but a missed clause can delay an entire project. The product should expose source passages, confidence and version history so a professional can verify every conclusion. Customers will also ask where confidential plans are processed and whether their data is used to improve models for competitors. The company can earn trust by measuring error on real project documents and by making human approval a designed step rather than a disclaimer at the end.

Dili's most defensible position is as a system of record and review assistant, not an invisible decision maker. Customers should be able to see the source behind every requirement and maintain human approval for filings. If the platform can combine speed with evidence, it could become useful infrastructure for the companies building physical infrastructure.