Larridin raises $30 million to measure enterprise AI returns

Larridin has raised $30 million in Series A funding to expand its enterprise AI measurement platform. Pelion Ventures led the round, bringing the company’s total funding to $47 million.

The platform connects data on AI adoption, applications, productivity and spending with work performed by employees and software agents. Larridin says customers can use those links to assess where AI creates value, weigh output against cost and identify workflows that may be candidates for automation.

Larridin says it has measured more than 2 billion AI sessions and tracked more than 82,000 workflows. Across its customer base, the company claims an average 47% increase in measurable team output and a median $2.4 million in AI spending optimized during the first year. The opened sources did not independently audit those figures, and Larridin did not disclose the underlying customer-level data.

The company offered two examples of what adoption totals can obscure. At one customer, Larridin said 92% of engineers actively used AI, but one engineer generated about 65% of the team’s AI spending in one week. At another, it said two AI tools used for comparable work had a 66-fold difference in cost per shipped engineering change, exposing tens of thousands of dollars in potentially reducible spending.

Larridin also released quarterly engineering data with the financing announcement. The company said AI-assisted pull requests increased from 35% in April to 62% in September, while the median wait for an initial human code review rose 50%. Its public data page describes the findings as based on production telemetry, though the opened sources do not establish the exact methodology behind every figure in the release.

Existing investors Andreessen Horowitz and Gradient Ventures joined the round, along with new investors GFT, W23, Thayer, DG Daiwa Ventures, Alumni Ventures and Cougar Capital. Larridin said it will use the financing to accelerate product development and expand its teams, but did not specify hiring targets, a timetable or the company’s valuation.