Dili raised $21.7M

Dili just closed a $21.7 million round led by Khosla Ventures, with backing from Allianz and Garry Tan, to push its compliance platform beyond certified payroll and into broader audit and waste detection work. The company calls its approach “deterministic AI,” meaning it checks 100% of submitted data against regulatory rules instead of sampling a fraction the way auditors traditionally do.

The numbers tell the story. What used to take compliance teams seven-plus hours per week now runs in under five minutes, according to the original report. That shift matters because Dili is targeting work that Big Four consulting firms have billed by the hour for decades. Construction and infrastructure compliance is boring, but the total addressable market is enormous. Dili is replacing consulting engagements with a subscription model, which means predictable cost for buyers and recurring revenue for the company.

This is a textbook case of vertical AI eating professional services. The platform does not write creative briefs or summarize meetings. It applies known rules to structured data at scale, faster and more completely than humans can. If you run a business that touches government contracts, prevailing wage requirements, or multi-layered compliance frameworks, you are either already paying for this kind of review or you will be soon. The question is whether you pay consultants by the hour or a platform by the month.

The broader pattern is worth watching. Compliance, audit, and regulatory work all involve rule-based checks on large data sets. That is exactly what AI can do reliably today. If you are building or planning an AI command centre for your business, compliance workflows like this should be on the list. The ROI is measurable, the risk is lower than generative tasks, and the time savings compound quickly.