Skip to content
TrustList
L
Artificial Intelligence Company

Larridin

New· 4

Measurement platform that ties enterprise AI spend and adoption to the work people and agents deliver, from token costs to hours returned and engineering output.

TrustList summary

Companies are paying for AI seats, tokens and cloud models faster than they can say what the money bought, and Larridin was started to answer that. Its platform connects what an organisation spends on AI to adoption, skill and output across both employees and software agents. The site frames the product as a measurement layer for AI, built for finance, operations and engineering leaders.

One view of where every AI dollar goes

Spend Intelligence traces licence fees, token usage and cloud model costs to the teams, tools and agents behind them. The example dashboard on the site splits month-to-date spend between agent usage, human usage and fixed licences, and the company says it is aimed at CFOs and finance and operations teams who need to explain a budget before the next review.

Adoption, fluency and hours returned

The AI Impact product compares adoption, fluency and cost per AI hour department by department, so leaders can decide where to invest, where to train and what to scale. The sample view scores fluency out of ten and reports hours returned each week against cost. A separate adoption product looks at how deeply teams use AI by role, location and application, rather than counting licences.

Engineering output against AI spend

Developer Intelligence connects engineering output, code quality and delivery to AI spend and shows where coding agents help and where teams need support. The developer section lists a router for cutting AI costs, agent effectiveness and readiness checks, output per dollar of AI spend, effort allocation and a plain-English Ask AI feature. Workflow Intelligence maps repeated work from observed activity and tracks each automation from candidate to live against a captured baseline. The company also publishes its State of Enterprise AI report and a dataset on what companies pay for AI coding.

Founders from the early measurement era

The three co-founders are Russ Fradin (CEO), Jim Larrison (President) and Ameya Kanitkar (CTO). The founders' letter says that 25 years ago two of them helped build the foundations of digital measurement at Comscore, and that AI now needs a comparable standard. The $30M Series A was led by Pelion Ventures with existing investors Andreessen Horowitz and Gradient Ventures, plus GFT, W23, Thayer, DG Daiwa Ventures, Alumni Ventures and Cougar Capital, bringing total funding to $47M. The company says the money will go toward measurement depth, engineering and customer teams and further independent research.

Key facts

Founded: 2024 Headquarters: South San Francisco, California People: Russ Fradin (co-founder and CEO); Jim Larrison (co-founder and President); Ameya Kanitkar (co-founder and CTO) Funding: $30M Series A; $47M raised in total Lead investor: Pelion Ventures, with Andreessen Horowitz and Gradient Ventures Products: Spend Intelligence, AI Impact, Developer Intelligence, Workflow Intelligence Website: larridin.com

Summary written by TrustList from the business's own published information, Nov 2026.

Categories & features

Trust Score

4/ 100
Trust Score: New

An earned signal from verification, reviews, awards, transparency and engagement - the vendor can't buy it.

Verification
0/100 · 20%
Reviews
0/100 · 30%
Awards
0/100 · 15%
Transparency
18/100 · 20%
Engagement
0/100 · 15%
Joining soon
Recommendations
Coming soon
Complaints
Coming soon

Updated 11/3/2026

Request a demo or quote from Larridin

Protected by reCAPTCHA - Google Privacy Policy and Terms apply.

By sending, you agree we may share your request and contact details with the provider once you confirm your email.

Reviews

Write the first review of Larridin

Used it? Your experience helps other buyers decide.

Write a review

Questions & answers

No questions yet. Be the first to ask about Larridin.

Larridin alternatives

Similar listings buyers compare against this one.

Enterprise AI software company offering a development platform and ready-made applications for large organisations

Cloud data science platform that builds machine learning models without coding

Enterprise AI company offering the GRACE platform for AI governance, security and model operations, plus data science expertise

Cloud software that automates petroleum engineering workflows with physics-based and machine learning prediction

RapidCanvas, an Austin company founded in 2021, builds custom AI applications for mid-size and large enterprises and stays accountable for their results; it raised a $29 million Series B in October 2026.

Open-source machine learning and generative AI platforms for enterprises that need to keep data private

PatternedScience designs data and AI architecture and runs its own UniAnalytica data science platform

Language technology company offering AI and natural language processing consulting and tools for text and data