Building the AI-native operating layer for insurance claims at India’s private hospitals.
Stuck claims, unstuck.
A two-week forensic reconstruction of your claims history.
We rebuild every claim into a single, rupee-quantified, payer-by-payer map — a diagnostic picture where none existed before.
01
No disruption to existing hospital systems.
02
Reads records without altering them.
03
Delivers clarity where scattered spreadsheets gave you none.
A living ledger for every claim, updated in real time.
The continuously updated counterpart to the audit. Every claim is tracked against India’s statutory response deadlines — and the moment one is breached, you know.
1 hour
Pre-authorization
Statutory response window
3 hours
Discharge
Statutory response window
30 days
Reimbursement
Statutory response window
Underpayments are flagged automatically — one source of truth, not fifteen spreadsheets.
Built on a compliant architecture, not bolted onto one.
An agentic pipeline, not a monolith
Purpose-built stages, each doing one job well — auditable, replaceable, and far more reliable than a single black-box model.
An append-only audit ledger
Every event is chained to the one before it. Nothing is edited in place, so the record is tamper-evident by construction.
Deadlines as first-class objects
IRDAI response windows live inside the system as tracked objects — not numbers reconstructed in a report after the fact.
DPDP-aligned from the schema up
Purpose limitation and consent are built into the data model itself — not a policy layer added once the data is already everywhere.
Enforceable payer deadlines now exist in India — statutory, and measurable for the first time.
A national claims exchange exists — yet hospitals have barely begun to adopt it.
India’s insured base keeps growing, structurally, year after year.
Request an audit — or just tell us where your claims are getting stuck.