Larridin Raises $30 Million to Track Enterprise AI Use and Work

Larridin announced a $30 million Series A on Monday, Nov. 2, to expand software that connects enterprise AI use and spending with measures of work by employees and AI agents. The round brings the company’s disclosed funding to $47 million.

Pelion Ventures led the financing. Existing investors Andreessen Horowitz and Gradient Ventures also participated, alongside new investors GFT, W23, Thayer, DG Daiwa Ventures, Alumni Ventures and Cougar Capital. The capital is earmarked for product development and team expansion; no dollar breakdown was provided.

Larridin’s platform links data on AI adoption and spending with measures of employee and agent work. Before the Series A, the company had disclosed $17 million in seed funding led by Andreessen Horowitz, Bloomberg Beta and Gradient Ventures.

Across measured companies, AI was involved in 35% of merged pull requests in April and 62% in September. Over the same period, the median wait for an initial human code review rose from one hour to 1.5 hours, a 50% increase. Output per engineer rose 33% from the second quarter to the third quarter of 2026.

The findings are descriptive and do not establish that AI involvement caused review waits to increase. The analysis used proprietary data from more than 1,000 engineers across Larridin’s customer base. Its company-level figures cover at least five companies, with at least 25 engineers or users at each.

Larridin CEO Russ Fradin said companies “must be able to prove tangible business value from skyrocketing AI spend.”

In one anonymized customer example, 92% of engineers used AI, while one engineer accounted for about 65% of the team’s AI spending during a single week. A separate customer example found a 66-fold difference in cost per shipped engineering change between two tools used for comparable work.