The law
Health records are personal data under the DPDP Act 2023. The DPDP Act sets duties and penalties for how organisations handle personal data.
BiltIQ AI for healthcare is Agent OS applied to claims and bills. Agents check a claim against the policy and the hospital bill, cite the page behind each finding, and leave the decision to a named reviewer. BiltIQ won the NHA PM-JAY AI Challenge 2026, a hackathon, with this claim and bill verification work.
We'll walk you through it on sample data.
Health records are personal data under the DPDP Act 2023. The DPDP Act sets duties and penalties for how organisations handle personal data.
Health-claim payouts are lost to fraud, waste and abuse, and checking claims by hand misses much of it.
Every cloud model you send claims to is another party you must account for. Your AI on your own servers removes that party from the model path.
Your AI agents test each claim against the policy terms you set.
Amounts, dates and line items are checked against the bill.
Each finding shows the page and the text it rests on.
A named reviewer accepts or rejects each finding in the approval inbox. The agents do not diagnose, and they do not advise on treatment.
Won (hackathon): claim and bill verification, IISc Bangalore finale, 8 May 2026
A hackathon result is not a deployment. We'll walk you through claim checks on sample data.
| Own it | Subscribe | |
|---|---|---|
| Agents and models | Your GPU server | BiltIQ's own servers in India |
| Outbound calls | Blocked by default (platform gate) | — |
| Approvals | Irreversible and high-consequence actions pause for a person | Same |
| Status | On sale now, starting with a paid pilot | Subscription: not yet on sale |
Yes. In BiltIQ Agent OS, your AI agents check each claim against the policy terms and the hospital bill, then cite the page behind every finding. A named reviewer accepts or rejects each one in the approval inbox, so the decision stays with your team. BiltIQ proves this on your past claims in a 4–6 week paid pilot.
BiltIQ won the NHA PM-JAY AI Challenge 2026, a hackathon, with claim and bill verification built on Agent OS. The finale was held at IISc Bangalore on 8 May 2026. It is a hackathon result, not a deployment or a contract, and BiltIQ quotes no accuracy figure from it. A paid pilot measures results on your own claims.
Not on an Own-it install of Agent OS. Your AI agents and models run on your own GPU server, and outbound calls are blocked by default by the platform gate. In a paid pilot, the claims stay on site on your server or a BiltIQ loaner. Consent, notices and breach reporting under the DPDP Act stay your duty.
BiltIQ is model-agnostic: open-weight models chosen per buyer. NVIDIA Nemotron by default for defence and PSU; Qwen3.8-27B for reasoning where allowed. There is no medical-specific model in the fleet today. Accuracy comes from grounding each finding in the policy and the bill, with the page cited. Fine-tuned domain models are a roadmap item.
We'll walk you through it on sample data.