Larridin

Larridin is a measurement layer for enterprise AI. It helps organizations prove the return on their AI investments by connecting data from every tool, team, and workflow into a single dashboard. Instead of relying on fragmented spend reports, adoption dashboards, or procurement data, Larridin gives leaders a unified view of where AI is paying off, where it isn't, and what to do about it.

The platform covers four main areas. Adoption measurement shows how deeply teams are using AI and which roles are becoming fluent. Workflow optimization maps business processes to surface where AI is running, stalling, or could be applied next. Developer intelligence connects to GitHub and Jira to measure the impact of AI-augmented engineering teams on velocity and quality. Spend intelligence tracks every license, model call, and token to uncover unused seats and overspend. Larridin claims a 47% average lift in measurable team output and $2.4M in median AI spend optimized in the first year.

This tool is built for enterprise leaders who need to justify AI budgets and scale effectively. CIOs can see where to focus investment, CFOs can tie spend to outcomes, engineering leaders can measure Copilot seat ROI, and CHROs can assess AI fluency across teams. Real-world use cases include reallocating $1.2M in AI spend and generating board-ready impact reports in 60 days. Larridin is not a tool for individual users — it's an organizational analytics platform for companies running multiple AI tools at scale.