Investment
Nov 02, 2026Copy link to article

Larridin Raises $30M Series A to Measure AI’s Business Impact

Thayer Investment Partners joins Larridin’s $30 million Series A, led by Pelion Ventures, as the AI value measurement platform helps enterprises connect AI adoption and spend to measurable outcomes across people and agents.

$30MSeries A
$47MTotal Funding
2B+AI Sessions Measured
Larridin brand graphic reading “Measure AI-powered work. Connect AI investment to business outcomes.”

Thayer Investment Partners is thrilled to participate in Larridin’s $30 million Series A, led by Pelion Ventures. Existing investors Andreessen Horowitz (a16z) and Gradient Ventures also joined the round, alongside fellow new investors GFT, W23, DG Daiwa Ventures, Alumni Ventures, and Cougar Capital. The financing brings Larridin’s total funding to $47 million.

Larridin is an enterprise-wide AI measurement platform that ties AI adoption, productivity, and spend data to the work of both people and agents. The company reports that it has measured more than 2 billion AI sessions and tracked more than 82,000 workflows end to end, and that its customers see a 47% average increase in measurable team output and a median $2.4 million in AI spend optimized within the first year. Customers include SurveyMonkey, Vertiv, Klaviyo, Gainsight, and EcoVadis.

“Enterprise AI has moved quickly from innovation budget to financial accountability, and our investors share our conviction that companies must be able to prove tangible business value from skyrocketing AI spend.”

— Russ Fradin, CEO, Larridin

The company’s data shows why usage alone is a poor yardstick. At one customer, Larridin found that 92% of engineers were active AI users, yet a single engineer accounted for roughly 65% of the team’s AI spend in one week. At another, two AI tools performing comparable work differed by 66x in cost per shipped engineering change. Larridin’s new quarterly Engineering AI Impact Report adds to the picture: AI-assisted pull requests rose from 35% in April to 62% in September, while median waits for an initial human code review grew by 50%. The new funding will go toward product development and expanding the team.

We believe the next phase of enterprise AI will be defined less by who adopts it fastest than by who can show what it delivers. Measuring cost, output, and quality is a horizontal need that cuts across every industry, and we expect travel and hospitality companies to feel it as they scale AI across large, distributed teams. A clear view of where AI earns its keep is the kind of infrastructure that makes the next round of investment possible.

We’re proud to support Russ Fradin and the Larridin team as they help enterprises prove the value of AI. Read the entire announcement at Larridin.