Larridin, a company based in South San Francisco, has raised $30 million to develop its corporate artificial intelligence measurement platform. The company helps businesses understand the financial impact of implementing artificial intelligence. With this funding round, Larridin's total funds raised have reached $47 million.
Pelion Ventures led the Series A investment round. Other existing investors participating in the deal include Andreessen Horowitz and Gradient Ventures. New investors in the round include GFT, W23, Thayer, DG Daiwa Ventures, Alumni Ventures, and Cougar Capital. The company has tracked over two billion AI-related sessions.
The funds will be used to develop the product and expand the team. The startup's platform connects data on AI implementation, performance, and financial information from various organizations. This allows business leaders to identify opportunities and make more informed investment decisions.
Larridin is targeting a growing problem among enterprises that are adopting artificial intelligence. Most companies track AI activity but do not understand what results this activity generates. The company's platform correlates employee and agent activity with operational outcomes.
It enables businesses to assess where tools provide a return on investment and where costs should be cut. Larridin reported that the average increase in measurable team output was 47%. Furthermore, the company notes a median AI cost optimization of $2.4 million within the first year of client operation.
Larridin's client base includes SurveyMonkey, Vertiv, Klaviyo, Gainsight, and Globality. Other clients are TigerConnect, EcoVadis, and Sundt. The platform also identifies differences in AI spending across various teams. In one client project, one engineer accounted for approximately 65% of the team's total AI costs in one week.
Another analysis showed a sixty-sixfold difference in the cost of a single submitted engineering change. Two AI tools performed similar work but generated significantly different costs. This data demonstrates why mere adoption metrics are insufficient for a complete picture.
Along with the funding announcement, Larridin presented its quarterly report on the impact of AI on engineering. The Q3 2026 report covers the level of AI adoption among over a thousand software engineers. The report identifies workflow violations in software development.
The proportion of code merge requests executed by AI increased from 35% in April to 62% in September. However, the higher workload also created additional pressure on the review process. The median waiting time for initial human code review increased by 50% over the same period.
These results point to increasing pressure points for engineering teams. An increase in AI-generated work does not guarantee faster software delivery. Organizations must consider both review throughput and code quality.
Larridin will scale its staff in parallel with product development. Jeff Kierl, General Partner at Pelion Ventures, stated that 'Larridin provides transparency on how dollars spent on corporate AI translate into quantifiable business results.'
Larridin enters a market where corporate AI spending continues to draw close scrutiny. Businesses are moving from initial adoption to stricter financial control. The company was founded in 2024 and has expanded its client base. Larridin's goal is to provide measurement for both employees and software agents.
The platform supports organizations across various industries and business functions. Alex Rampell, General Partner at Andreessen Horowitz, also highlighted the company's potential, calling its technology an important standard for measuring corporate AI. The investment will support additional capabilities as enterprises demand greater transparency. The broader trend goes beyond measuring software subscriptions; companies are increasingly seeking to understand the link between AI spending and completed work. This latest funding will support efforts to improve accountability for AI investments.



