AI for healthcare that works at the bedside, not in a slide deck.
We embed engineers inside hospitals, diagnostics chains, and health-tech platforms for 4 weeks walk every ward, shadow every OPD, map every HL7/FHIR feed. Then we ship HIPAA-compliant, DPDPA-aligned AI every month. 62% reduction in claim-denial rework is not a slide it is what a multi-speciality chain measured in 90 days.
fewer claim-denial reworks
faster OPD discharge summaries
radiology throughput on CT/MRI triage
Why most "AI for healthcare" pilots die in the corridor
The model was trained on US data
Indian ICD coding practices, payer behaviour, and diagnostic patterns differ. A US-trained denial model calls 40% of Indian claims "anomalous". Trust collapses in week one.
Clinicians were never consulted
The workflow was designed by a product manager in an office park. The senior doctor on the ward finds the UI adds 3 clicks and abandons it by day 4.
Data is locked inside the HIS vendor
Closed EMRs, proprietary HL7 wrappers, undocumented APIs. Integration eats 60% of project budget before a single model is trained.
Nobody owns consent and audit trails
DPDPA and HIPAA both require verifiable consent and access logs. Most pilots skip this until the hospital compliance officer kills the project in user-acceptance testing.
Every metric is a problem we solved.
Real numbers from live healthcare deployments.
Claim denials eat 2–4% of topline
Discharge summaries drown doctors
Prior-auth blocks the patient, not the fraud
Patient no-shows waste premium slots
What your team actually says.
"I spend more time typing than examining."
Senior Consultant
"Our denial rate is 11%. I have no idea which payer, which coder, which doctor."
Revenue Cycle Head
"We have 3,000 unread CTs in the worklist. Something urgent is in there."
Head of Radiology
"22% of our premium slots are empty and we still have a 3-week waiting list."
OPD Manager
"Every integration with the HIS takes 6 months and a lawyer."
CIO
"Our NABH auditor flagged 14 missing consent records last quarter."
Quality & Compliance
Use cases that move the needle.
01Ambient AI Scribe for OPD & Wards
Voice-to-structured-note capture during consultations. Auto-drafts SOAP notes, discharge summaries, and prescriptions inside the EHR.
02Pre-Submission Claims Scrubbing
AI validates ICD-10/CPT codes, prior-auth status, and documentation against payer rules before the claim leaves the hospital.
03Radiology Triage & Critical-Finding Alerts
Pre-read AI models re-rank CT/MRI worklists and page radiologists for suspected stroke, PE, and intracranial bleed.
04Prior-Authorisation Bot
Auto-drafts and submits prior-auth packets with clinical evidence attachments, tracks payer SLAs, and escalates delays.
05Patient No-Show & Revenue-Recovery Model
Per-slot no-show probability feeds smart recall, SMS/WhatsApp nudges, and overbooking rules for premium OPD.
06Discharge Summary Auto-Drafting
LLM ingests admission notes, progress notes, lab and imaging results to produce a HIPAA-compliant discharge summary draft.
Four pillars. Translated for Healthcare.
An Engineer in Your OPD
Our Forward Deployed Engineer shadows consultants, sits in on MDT meetings, and walks through billing, coding, and discharge workflows. They speak HL7, know how NABH auditors think, and understand why the casualty medical officer writes notes the way they do.
Clinical-Grade R&D
Our Research Engineers run 2-week sprints on real de-identified data Indian ICD-coding patterns, regional payer behaviour, language mix in clinical notes so the model works in your hospital, not just on MIMIC-IV.
A Working Release Every 30 Days
Mid-month shadow deployment next to the doctor. End-of-month go-live in one department. Every release has a clinical sign-off, audit logs, and a rollback plan. No six-month "phase 1" that never reaches a patient.
We Own the Clinical & Financial Number
We don't bill hours. Every month you get a report: denial-rate delta, documentation time saved, critical-finding TAT, no-show-rate change. If the numbers aren't moving, you'll know and so will we.
What happens in the first 30 days.
Workflow Walk & Data Inventory
Our engineer shadows OPD, IPD, radiology, and billing. Interviews consultants, nurses, coders, and the CFO. Maps every HL7/FHIR feed and every EHR module in use.
Compliance & Integration Mapping
HIPAA, DPDPA, NABH requirements documented. Consent flows mapped. EHR/HIS integration surface documented, including vendor-locked blockers.
AI Opportunity Scoring & Mockups
Each opportunity scored by clinical impact, ₹ impact, feasibility, and data readiness. Clinician-validated mockups built for the top 3 use cases.
Strategy Deck & Clinical Roadmap
Prioritised 12-month roadmap, cost-benefit case, integration architecture, and change-management plan handed over. Yours to keep regardless of what comes next.
What you walk away with
We speak your regulatory language.
Regulations & Certifications
- HIPAA — US Protected Health Information safeguards
- DPDPA 2023 — Indian Digital Personal Data Protection Act
- NABH — National Accreditation Board for Hospitals
- MCI / NMC Guidelines — Clinical documentation standards
- IRDAI Claim Rules — Health-insurance claim documentation
Data & Protocol Standards
- HL7 v2 / v3
- FHIR R4
- DICOM (imaging)
- ICD-10 / ICD-11
- SNOMED CT
- LOINC
Enterprise Systems We Integrate
- Epic, Cerner, Meditech
- Allscripts, athenahealth
- Indian HIS Suvarna, Birlamedisoft, Insta, Hinai
- PACS GE, Philips, Agfa
- TPA / payer portals Paramount, MDIndia, HDFC Ergo
- Tally / Oracle Financials for billing
Questions we hear on the shop floor.
Book the 4-Week Healthcare Audit
HIPAA · DPDPA · NABH-aware. FHIR-native. EHR-integrated.
The first step is always a conversation.