Dili focuses on compliance requirements tied to federally funded construction projects, including Davis-Bacon prevailing wage rules, prevailing wage and apprenticeship requirements for Inflation Reduction Act-funded clean energy projects, and regulations enforced by agencies such as OSHA and the EPA.
According to co-founder and CEO Anand Chaturvedi, even minor compliance mistakes can carry significant financial consequences. "Non-compliance can result in millions of dollars of fines for those projects," Chaturvedi said. "So it's really powerful to be able to check all the information as it comes in, instead of just sampling data."
Rather than relying entirely on large language models, Dili separates AI from the final compliance decision. The company uses AI models to convert unstructured documents into structured data, while a deterministic system applies the underlying compliance rules. Chaturvedi said that approach reduces the risk of AI-generated inaccuracies affecting regulatory outcomes.
"Imagine being able to read across the entire context of a company's internal documents, all of their vendors' documents, all of their ERP information, all of their payroll systems information, and then draw out the data that you need specifically for you know reporting or compliance," he said.
The company said its platform is currently used across approximately 700 projects, including manufacturing facilities and data centers.
Dili also supports two different operating models. About half of its customers use the software internally to manage compliance, while the remaining projects outsource the entire compliance process to Dili. Chaturvedi said he expects more organizations to adopt the software directly over time as AI becomes a larger part of compliance workflows.
"Software and AI are going to start eating a lot of those professional services workflows, so I think more and more people will start to bring those in-house," Chaturvedi said. "The interesting thing will be how the market itself evolves and where the customer needs go as AI develops."
The company is positioning its platform as infrastructure construction accelerates alongside new data center developments and federally funded energy projects, where overlapping labor, safety, and environmental regulations can make compliance increasingly complex.
This analysis is based on reporting from TechCrunch.
Image courtesy of SuperMicro.
This article was generated with AI assistance and reviewed for accuracy and quality.
