EpicureAI Labs builds agentic AI products for domains where a wrong answer carries real cost. We ship into clinical nutrition and workforce intelligence — and we run a thirteen-week engineering intensive on the same codebases and constraints.
India develops metabolic disease decades before healthcare intervenes, and the dietary pattern driving it belongs to the household rather than the patient. AVOLA treats the family as the unit of care: six specialised agents resolve six conditions into one clinically-safe menu, with a deterministic safety layer between every recommendation and the family. It executes a diagnosis; it never diagnoses or prescribes.
Companies are deploying AI faster than their people can absorb it, then cutting experienced staff to fund the spend. Forsight runs a seven-agent pipeline over an organisation's HRMS data to produce a verified AI readiness score for every employee — measured against what their own manager expects — and a ninety-day growth plan tied to tools already deployed. Sold white-label through HRMS, L&D and staffing partners.
A training company cannot manufacture ten in-production AI products. A product company will not open ten codebases to learners. The AI Engineering Intensive exists because EpicureAI is both — a thirteen-week, fully live programme where every concept is taught across ten live products, and the capstone problem is handed to you by a senior industry leader rather than invented for a syllabus.
One technique seen across ten live products — where the retrieval strategy changes, where the cost of a wrong answer changes, and where the right trade-off flips entirely.
In the week-three reverse pitch, senior leaders present real unsolved problems from their own organisations. Teams interrogate the brief and choose one to carry as their capstone.
You train on the architecture, constraints and trade-offs of products EpicureAI is actually shipping, guided by the team that builds them, on the stack the industry uses.
A clinical co-founder. An AI product founder. An engineering lead. An operator.
Stanford (Launching Your Startup) · ISB (Product Management). Ex-Micron AI Product Lead; ex-IBM AI-OPS Product Manager. Fifteen-plus years in production AI in high-stakes environments. Drives product, fundraising and go-to-market.
MBBS, MD Paediatrics. Fifteen-plus years in paediatrics and ICU across Aster, CloudNine and St. John's. Clinical strategy and advisory anchor.
B.E. Computer Science. Founder of Streakify Technologies. Full-stack and mobile engineer — React Native, Node.js, FastAPI and ML pipelines. Owns technical architecture.
MBA, MS Ramaiah University. Ex-IISc, ex-Wipro. Finance, operations and go-to-market execution. Co-built the UZ Brussels partnership.
Three of the four founders have a parent or sibling with Type 2 diabetes, PCOS, or pre-diabetes. AVOLA is the product we wish our parents had. We are building it for a ten-year arc.
Incorporated and headquartered in Bengaluru, India. Recognised by the Department for Promotion of Industry and Internal Trade in September 2025. Both products handle sensitive personal data and are built to comply with India's Digital Personal Data Protection Act, 2023.