We build AI for hospital chains, diagnostics companies and clinics: pre-authorisation files, report-status questions, discharge summaries and appointment calls. The clinician stays in charge of every clinical word.
Every cashless admission needs a pre-auth file: clinical notes, estimates, investigation reports, ID and policy details. The insurance desk assembles it by hand, then answers TPA queries that ask for documents already sent.
Junior doctors spend hours compiling summaries from case sheets, medication charts and investigation results. Discharges wait, beds wait, and patients wait.
Reminders, rescheduling and post-procedure follow-up calls in Hindi, Marathi, Kannada or Tamil are repetitive work that front desks rarely have time to do well.
The HIS, the LIS, the PACS, the billing system and the insurance portal each hold part of the picture. Many have limited APIs.
“Is my report ready?” Diagnostics chains get thousands of the same questions on WhatsApp and phone: report status, home collection slots, fasting instructions, prices. Each one ties up a person who could be doing something else.
This section is guidance, not legal advice. Your medical, legal and compliance leads make the final call.
AI does not diagnose, prescribe or change a clinical record on its own. Anything clinical is a draft for a registered practitioner to approve, and the system records who approved it.
Health information is personal data and among the most sensitive you hold. We collect only what the use case needs, redact identifiers before they reach a model where possible, set retention limits and keep an audit trail. Patients are told when they are talking to an automated system.
If you are integrated with the Ayushman Bharat Digital Mission, we work within its consent-based data sharing and do not build workarounds to it.
Pre-auth and claim files follow the formats your insurers and TPAs set. We check against those formats, not our own.
What this means in practice: deployment in your environment in Indian regions, no patient data used for model training, human review on anything clinical, and a clear escalation path for urgent messages.
AI Governance and DPDP ReadinessRead: DPDP Act and AI agents
A support agent connected to the LIS answers “Is my report ready?” and booking questions in English and Hindi, and passes anything about results or symptoms to a person. The containment target and accuracy bar are agreed in writing before the build.
This is an example of what a project looks like. It is not a client or a result.
No. We design support agents to answer operational questions only: status, timings, preparation, prices, locations. Anything about symptoms, results or treatment goes to a person, and urgent words trigger an immediate hand-off.
It can prepare a draft from the case record. A doctor reviews, edits and signs it. We measure how much the doctor changes, and that number is part of the success metric.
We deploy in your environment in Indian cloud regions by default. If a model provider would process data outside India, we tell you before the build and offer an India-hosted alternative.
Usually, yes. We work through database views, reports, HL7 or FHIR interfaces where available, or secure exports. We prefer to work with your HIS vendor rather than around them.
Most start with an AI Opportunity Sprint (₹1.5 lakh to ₹5 lakh, excluding GST) or go straight to a fixed-price pilot. See Pricing.
Thirty minutes with a founder. A one-page note within three working days.
