AccurateAI · open source

AI products,
built in plain sight.

Open-source AI for healthcare access, enterprise governance, and clinical decision-support. Each project ships with its adversarial eval, its safety net, and its source — by Sankar Subbayya.

Projects

  • Path to Care

    AMD Developer Hackathon · May 2026

    Multimodal, agentic triage decision-support for rural healthcare in the Global South. A phone photo plus a typed narrative becomes a top-3 condition guess, a Red/Yellow/Green urgency, and a structured pre-visit SOAP for the clinic doctor — contextualized by village distance, cost, and harvest season. Built in 24 hours on a single AMD Instinct MI300X. Never diagnoses.

  • Sentinel Health

    Gemma 4 Good Hackathon · May 2026

    Offline triage for community health workers in low-resource settings. Multimodal Gemma 4 + a deterministic safety layer + a WhatsApp handoff to the hub physician — runs entirely on a clinic laptop, no internet. Scoped to five grassroots emergencies: trauma, poisoning, snake bite, MI, stroke.

  • Agent Sentinel

    AI & Big Data Expo · San Jose · May 2026

    Governance plane for enterprise AI agents. Gates every tool call, signs the audit trail with hash-chained HMAC, and meters per-BU spend. Built on Gemini 2.5 Flash + Pro with Cached Content over full policy documents. The control plane between agentic pilots and production.

What ties them together

Three projects, one posture: AI that names its own limits. Path to Care never produces a diagnosis. Sentinel Health never overrides a red flag. Agent Sentinel never lets a model bypass its policy gate. The deterministic safety layer is code, not a disclaimer.

Every project ships an adversarially-authored test set, a measurable safety property (zero false-negatives on Red triage, zero unauthorized tool calls), and a single-command demo. If you can't reproduce the eval on the repo, the claim doesn't count.