Analysis
Larridin, a startup that measures whether enterprise AI spending is actually paying off, raised a $30 million Series A led by Pelion Ventures on November 2, 2026, taking its total funding to $47 million, according to SiliconANGLE.
What Larridin does
Founded by CEO Russ Fradin, President Jim Larrison and CTO Ameya Kanitkar, Larridin built what it calls the industry's first AI value measurement platform, linking data on AI tool adoption with employee productivity metrics and spending data, per SiliconANGLE. The platform includes modules such as Spend & Token Intelligence, designed to help companies understand AI costs and token-level return on investment in one place, according to the company's own site. Its customer base already includes enterprises such as SurveyMonkey, Vertiv, Klaviyo and Gainsight.
Larridin's funding history
Larridin previously raised $17 million in a seed round led by Andreessen Horowitz, with participation from Bloomberg Beta and Gradient Ventures. Wednesday's $30 million Series A, led by Pelion Ventures, brings the company's total funding to $47 million -- nearly tripling its prior capital base in a single round.
“Larridin previously raised $17 million in a seed round led by Andreessen Horowitz, with participation from Bloomberg Beta and Gradient Ventures.”
Who invested in Larridin
Pelion Ventures led the Series A. Existing investors Andreessen Horowitz and Gradient Ventures returned for the round, joined by new investors GFT, W23, Thayer, DG Daiwa Ventures, Cougar Capital and Alumni Ventures, according to SiliconANGLE. That breadth -- a new lead plus six other participating firms -- suggests the AI-spend-measurement category is attracting a wider investor base than just the AI-infrastructure specialists who backed Larridin's seed.
AI measurement market and the numbers behind the round
Larridin's own Engineering AI Impact Report, based on a survey of more than 1,000 developers, found that AI-assisted pull requests rose from 35% of all code changes in April to 62% in September, while median code-review wait times rose more than 50% over the same period -- evidence that AI coding adoption is outpacing teams' ability to review the output it generates. The report also found that at one customer, 92% of engineers were active AI users, but a single engineer accounted for 65% of that company's entire AI budget, and that costs varied by as much as 66-fold between two competing AI coding tools for the same shipped code change. CEO Russ Fradin said companies "must be able to prove tangible business value from skyrocketing AI spend," and argued the industry needs "a complete picture that also covers the cost and quality of AI outputs," not just adoption metrics. Larridin's push comes as enterprises broadly face pressure to show return on AI investment, a theme we've tracked across our Pulse funding tracker.
What to watch next
Larridin's own data is also a caution for its own customers: if code review wait times are rising even as AI-assisted coding grows, the productivity gains AI vendors promise may be partly offset by new bottlenecks downstream -- a dynamic Larridin is better positioned than most to document, but hasn't yet shown it can fix. The company's growth from $17 million to $47 million in total funding within roughly a year suggests strong investor demand for AI-accountability tools, but the real test will be whether enterprises make a platform like Larridin's mandatory before approving AI spending, rather than treating it as an optional add-on. Watch Larridin's customer count next quarter for evidence either way.