Northern Virginia · Bay Area stretch
Anoop Mehendale
Founder and operator. I commercialize and ship AI inside real businesses — healthcare, enterprise GTM, and the built environment — and I write in public about getting AI from demo to production.
Bio
Mechanical engineer by training. Helped stand up DaimlerChrysler R&D work across Japan and Germany, then spent years in analytics startups (including paths that reached Moody’s Analytics, an IPO, and a scale-up from roughly $3M to $100M). Deep healthcare arc across payer, provider, and pharma — Salesforce, Optum / The Advisory Board, Aetna — then founded and exited Xficient, a generative AI platform for healthcare payer / TPA operations.
Now: Cue Insights advisory, Project Cornerstone with Lessard in AEC, AI Compact (Open Circle) for leaders putting AI to work, and open contribution to FINOS CALM (Linux Foundation) on architecture as code for agentic systems.
What I bring
Building now
Cue Insights
Consulting and AI enablement for operators who need shipped outcomes, not theater.
AI Compact
Peer community for leaders putting AI to work. Open Circle is the live event format.
Project Cornerstone
AEC AI product work with Lessard — AI into design and delivery operations.
FINOS CALM
Contributor to the Linux Foundation standard for declarative architecture as code.
Built before
- Xficient — Founder & CEO. GenAI platform for healthcare payer / TPA ops; exited 2023.
- Analytics startups — Operator roles across companies with exits, IPO path, and large scale-up.
- Enterprise healthcare — Leadership at Salesforce, Optum / Advisory Board, Aetna.
Writing · VectorPath on Substack
- Enterprise AI deployment and the hard part after the labs
- Partnerships and the negotiations inside enterprise AI deals
- Architecture as code / governing software nobody is reading
- Context engineering for architecture and the built environment
- Healthcare AI adoption (hospitals, ROI at the application layer)