EpicureAI Labs is an AI product company. We ship agentic systems into regulated, high-stakes domains — clinical nutrition and workforce intelligence — and we run a thirteen-week engineering intensive on the same codebases, constraints and trade-offs.
Both products are agentic systems operating where a wrong answer carries real cost — a clinical safety event in one case, a career decision in the other. That constraint shapes everything we build: deterministic safety layers, grounded retrieval, and measurable outcomes rather than fluent output.
Family-scale clinical nutrition for India.
Six conditions, one household, one subscription. Six specialised agents operationalise internationally-validated dietary protocols — DiRECT, DASH, ZOE METHOD — with a deterministic clinical safety layer between every recommendation and the family.
Workforce intelligence · B2B SaaSEmployees Amplified.
A verified AI readiness score for every employee, plus a 90-day growth plan tied to the AI tools their company already deployed. HRMS-native, scored against supervisor-defined role requirements, deployed white-label under a partner brand.
Clinical safety is not a prompt instruction. In AVOLA, a dedicated agent sits between every recommendation and the user, enforcing allergen, drug–food and condition contraindications across the whole household — deterministically, not probabilistically.
Retrieval strategy is a function of the cost of being wrong. We build grounding and provenance into the retrieval path, then measure hallucination rather than assuming it away.
Distinct agents with narrow, testable responsibilities, coordinated into one product. Sequential pipelines with explicit handoffs, latency budgets and failure containment across agent boundaries.
Where an internationally-validated protocol exists, we operationalise it rather than reinventing it. That means defensible recommendations from day one, without a cold-start period of passive data collection.
Every product carries a measurement layer. AVOLA tracks longitudinal clinical markers for the physician; Forsight re-assesses at ninety days to prove before-and-after movement.
Both products handle sensitive personal data under India's DPDP Act 2023. Data handling, consent and retention are engineering requirements at design time, not a compliance retrofit.
A training company cannot manufacture ten in-production AI products. A product company will not open ten codebases to learners. This programme exists because EpicureAI is both.
EpicureAI Labs Pvt. Ltd. is a DPIIT-recognised AI product company based in Bengaluru. The founding team spans production AI engineering, clinical practice, full-stack product development and operations — with fifteen-plus years building AI systems in environments where correctness is not optional.