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Enterprise Layer Intelligence
Categories/Data Analytics/Larridin
Larridin

Larridin

Founded by Russell Fradin in 2025

Track AI spending, employee adoption, and work delivery across enterprise teams

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use Larridin to measure the business return on your enterprise artificial intelligence investments. The product tracks token costs, seat licenses, and cloud computing expenses across different departments and automated agents. It monitors team adoption rates and fluency scores to show how employees use AI assistants. Engineering leaders can evaluate code output, pull request delivery, and quality alongside expenses. Larridin also inspects business operations to pinpoint repetitive manual tasks, evaluate automation feasibility, and verify actual productivity hours gained over time.

What Larridin does

Audit enterprise token and seat license expenses across vendorsCalculate returned work hours gained from AI tool adoptionBenchmark software engineering output against AI tool costsMap recurring business processes against automation baselinesGenerate spend allocation reports for finance and executive teamsMonitor active weekly users across various enterprise AI assistantsTrack token, license, and model expenses by department and agentMeasure employee AI adoption rates and fluency scoresCorrelate engineering code output and quality with AI expendituresIdentify repetitive business workflows suitable for automated agentsCalculate return on investment and capacity hours returned per teamCentralize vendor billing and model usage into a single view

Pricing breakdown

Pricing model: Book a demo

Frequently asked

HubSpotHubSpotMakeMakeZendeskZendeskGoogle AnalyticsGoogle AnalyticsSalesforceSalesforceZuoraZuoraAmplitudeAmplitude

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Larridin, AI Analytics, AI spend tracking, token costs, engineering metrics, workforce measurement, AI adoption, AI ROI, workflow automation, agent tracking, enterprise AI, developer intelligence, cloud spend, capacity planning