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Healthcare · Sovereign Artificial Intelligence (AI) for claims

AI for healthcare claims: checked against policy, cited to the page

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.

NHA PM-JAY AI Challenge 2026 (hackathon): claim and bill verification
Won
Outbound calls, blocked by default (platform gate)
Off
Paid pilot, 4–6 weeks on your past claims
₹5–8 L
Site licence, one-time, ex-GST
₹50–90 L
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30 minutes with an engineer. We map your workload and walk you through the product on sample data. You leave with a written next step.
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The rule that binds

The rule that binds: health data under the DPDP Act

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.

The cost of doing nothing

Health-claim payouts are lost to fraud, waste and abuse, and checking claims by hand misses much of it.

What it means

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.

What Agent OS does

AI claims verification: what your AI agents check

  1. Claim against policy.

    Your AI agents test each claim against the policy terms you set.

  2. Bill against claim.

    Amounts, dates and line items are checked against the bill.

  3. Cited findings.

    Each finding shows the page and the text it rests on.

  4. A person decides.

    A named reviewer accepts or rejects each finding in the approval inbox. The agents do not diagnose, and they do not advise on treatment.

Proof

Where this AI work has been tested

NHA PM-JAY AI Challenge 2026

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.

Controls

Where your claims AI runs

Own itSubscribe
Agents and modelsYour GPU serverBiltIQ's own servers in India
Outbound callsBlocked by default (platform gate)—
ApprovalsIrreversible and high-consequence actions pause for a personSame
StatusOn sale now, starting with a paid pilotSubscription: not yet on sale
Pricing

What claims AI costs

Own your AI (all ex-GST)

  • Site licenceone-time₹50–90 L
  • Managed service₹16–18 L/yr
  • Hardwareat cost

Paid pilot

₹5–8 L4–6 weeks on your past claimscredited against the licence
FAQ

Frequently asked questions

Can AI verify health insurance claims against the policy?

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.

What did BiltIQ win at the PM-JAY AI Challenge 2026?

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.

Does health data leave our premises with BiltIQ?

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.

Which AI models does BiltIQ use for healthcare work?

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.