Co-founder & CEO
Profile summary: BS in Economics at OPIM
Larridin
Larridin is an AI value measurement platform that gives enterprises visibility into AI spend, team output, and automation opportunities across human and agent workforces. The platform connects token usage, seat licenses, and cloud model costs to observed workflow data, producing a unified AI ROI ledger. It has measured more than 2 billion AI sessions and tracked over 82,000 workflows end-to-end.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
- AI Agents
Updated 3 days ago
Funding
Raised to date
$47MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
+7$30M · Series A
Announced Nov 2026 · from article date
Disclosed cumulative: $47M
2/2
RoundDateAmountValuationInvestors
Founders
Product
Problem
Enterprises invest heavily in AI tools and agents, but lack visibility into actual usage, adoption depth, and financial impact, often relying on spreadsheets or vendor dashboards that provide incomplete or biased data. Organizations typically discover 150 or more AI tools in active use versus the 30 they expected, and 69% report losing visibility into their AI tools.
Solution
Larridin provides an independent, vendor-neutral platform that automatically discovers every AI tool, workflow, and agent in use across an organization. It maps real-time workflow execution, measures AI adoption, fluency, and productivity, and quantifies the cost and ROI of each AI instance. The platform connects spend data from invoices, seat licenses, and cloud model calls to observed workflow data and engineering output, producing a unified AI ROI ledger. It surfaces policy compliance, license utilization, and token spend, enabling leaders to enforce governance, eliminate waste, and make data-driven decisions about AI investments. Insights are delivered through dashboards, benchmarks, and a conversational "Scout" agent that answers natural-language queries about AI performance and cost.
Target Audience
Primary customers are enterprise leaders responsible for AI governance and performance—including CFOs, CIOs, CISO/CAIOs, CHROs, and business unit heads—who need organization-wide visibility into AI adoption, cost, and impact.
Features
- Automatic discovery and mapping of AI tools, agents, and workflow transitions via a lightweight telemetry agent and browser extension, requiring no manual workshops
- Real-time dashboards showing AI adoption rates, fluency scores, and cost per team, role, and application, with built-in benchmarking against enterprise goals
- Spend Intelligence that consolidates token usage, seat licenses, cloud model calls, and API gateway traffic into a single normalized spend model with human vs. agent breakdowns
- Policy enforcement and approval workflows that identify approved vs. shadow AI usage and enforce data-handling and security rules
- License and token utilization analytics that highlight idle seats, redundant tools, and token-spend anomalies for immediate cost optimization
- AI impact metrics for engineering (velocity, code quality, AI slop index) and business functions (pipeline creation, deal velocity) that link usage to measurable productivity and revenue outcomes
- Workflow Intelligence that compares AI-assisted vs. non-AI runs of the same workflow to produce verdicts (helps, hurts, unclear) and rank automation opportunities by hours recoverable
- Developer Intelligence that scores merged code as Engineering Output, tracks agent effectiveness with session-level scoring, and includes a model router that cuts AI coding costs by up to 42%
- Conversational "Scout" agent that provides natural-language answers about AI usage, spend, and compliance across the organization
- Integration hooks for exporting data to governance frameworks (e.g., EU AI Act, ISO 42001) and existing BI or EHR systems via APIs