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Larridin raises $30M to continue to help enterprise organizations understand the impact of their AI investment   Read the Press Release      Watch the Video

Larridin Raises $30 Million Series A to Prove the Impact of AI

Larridin Raises $30 Million Series A to Prove the Impact of AI
Analysts
• Nov 2, 2026

AI is attracting more investment and faster deployment than any previous technology. And, like these earlier technologies, AI will need measurement to prove its value and guide ongoing investment.

Most companies lack reliable, sensible measurement of the cost of AI. As Russ Fradin, Larridin CEO, puts it: "Companies must be able to prove tangible business value from skyrocketing AI spend.”

Now Larridin has received a $30 million Series A investment to bring AI measurement to every part of the enterprise. With Larridin, companies can track ROI, enhance productivity for both humans and AI agents, and drive impactful business outcomes from enterprise AI deployments.

The new funding will go toward product development and growing the team. Plans include broader coverage of AI accesses and accelerated reporting, with more specifics connecting work produced to AI usage and AI costs. In addition, a prompt router will allow flexible and optimal use of cutting-edge frontier models and lower-cost open weights models.

The investment round was led by Pelion Ventures, along with seed investors Andreessen Horowitz (a16z) and Gradient Ventures, with new investments from GFT, W23, Thayer, DG Daiwa Ventures, Alumni Ventures, and Cougar Capital. Total funding now stands at $47 million.

Bringing Measurement Expertise to AI Infrastructure

The company’s founders bring broad and deep experience to this challenge. CEO Russ Fradin and President Jim Larrison built the foundation for digital measurement at Comscore. CTO Ameya Kanitkar built a deep understanding of enterprise technical foundations and AI infrastructure at LinkedIn, Coinbase, and GroupOn.

The lead investor, Pelion, and seed and continuing investors Andreessen Horowitz and Gradient Ventures have backed a long list of legendary companies in Silicon Valley and globally. They have seen Larridin grow rapidly, making a decisive impact on a fast-growing and enthusiastic base of customers.

Why AI Is Different, But Has Similar Needs

AI has quickly built up a reputation for being different. The technology is impacting areas of human endeavor not affected by previous hardware and software innovation. As a result, the scale of investment and the speed of growth in deployment and use outpace anything seen previously.

These differences only make measurement more important. Customers have been quick to grasp that per-vendor dashboards aren’t nearly enough, lacking the vendor independence and consistency needed to effectively serve enterprise companies.

Larridin customers experience immediate benefits when they adopt the Larridin platform. They have seen an increase of 47% in measurable team output and optimized a median of $2.4M in AI spend in their first year.

Faster Code, Slower Handoffs

Larridin research includes both anonymized customer data and industry research, leading to Larridin’s new report, Engineering AI Impact Report: Q3 2026. It starts with good news.

Larridin tracked AI usage by 1,000 engineers at several Larridin customers, measured from April to September 2026. The initial news on productivity was good:

  • AI-assisted pull requests rose from 35% of merged code changes to 62%
  • Code cycle time dropped by nearly a quarter, from 9.5 hours to 7.3
  • Output per engineer rose 33% from the second quarter to the third

But new code must be reviewed and approved before it can be merged, and that step did not speed up:

  • Time to first review increased by nearly 50%, from 1.0 to 1.5 hours
  • Time to approval increased by nearly 40%, from 1.8 to 2.5 hours

Larridin customers were able to see this shift happening in real time. They're adjusting their processes to wring the new bottleneck from their production pipelines. But most companies can't see the big picture and make the most of their AI investment.

The Engineering AI Impact Report will be published quarterly, so the industry can track how AI is changing work as it happens. The Q3 2026 edition is available now at larridin.com/data.

What Comes Next

To date, Larridin has measured more than 2 billion AI sessions. Customers, including SurveyMonkey, Vertiv, Klaviyo, Gainsight, Globality, TigerConnect, EcoVadis and Sundt, use Larridin to understand where AI is paying off — and where it isn't.

Across its customer base, Larridin reports a 47% average increase in measurable team output and a median $2.4 million in AI spend optimized within the first year. Alex Rampell, General Partner at a16z, calls Larridin "an indispensable platform for the future of work."

The new investment will power growth in the Larridin platform and team, for the benefit of enterprise companies worldwide. See the press release and download the report, Engineering AI Impact Report: Q3 2026.