Healthcare tech
Patient Data Migration
Secure enterprise migration of legacy patient health records to modern cloud infrastructure under strict compliance.
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AI for healthcare that gives clinicians time back.
From intake to discharge, we build AI that drafts the paperwork, flags risk early and keeps every decision with the care team — on secure, compliant infrastructure.
Trusted by enterprises and fast-growing startups
Use cases
AI across the care pathway
From the front desk to the research lab — hover a tile to learn more.
Ambient notes and discharge summaries drafted for clinician review.
Prioritise X-ray, CT and MRI studies that need urgent attention.
Forecast admissions and discharges to plan beds, staff and theatres.
Reminders, pre-visit questions and follow-ups in the patient’s own language.
Suggested codes and complete claim files that cut denials.
Find eligible trial patients and summarise the literature faster.
Solutions
Healthcare AI, built with clinicians
Open a solution to see what it includes.
Turn consultations into structured notes that clinicians review and sign.
- Ambient note drafting
- Discharge and referral summaries
- Structured data into the EHR
- Clinician review before saving
Decision support that helps radiologists prioritise, detect and measure.
- Worklist prioritisation
- Finding detection support
- Measurement automation
- DICOM and PACS integration
Early-warning models for deterioration, readmission and missed appointments.
- Deterioration alerts
- Readmission risk
- No-show prediction
- Explainable risk factors
Conversational assistants for booking, pre-visit questions and follow-up care.
- Booking and reminders
- Symptom intake before visits
- Post-discharge check-ins
- Indian-language support
Forecasting and optimisation for beds, staff, theatres and supplies.
- Admission and discharge forecasts
- Theatre schedule optimisation
- Staff rostering support
- Pharmacy and supply forecasts
Coding, claims and pre-authorisation handled faster and more completely.
- Coding suggestions
- Pre-authorisation packets
- Denial prediction
- TPA and insurer integration
Patient journey
AI at every step of the patient journey
Where AI helps — from the first booking to the follow-up call.
Booking and intake
Assistants book visits and collect history before the patient arrives.
Triage
Risk scores and symptom summaries help decide who is seen first.
Diagnosis
Imaging and lab results are pre-read and flagged for attention.
Treatment
Early-warning alerts watch for deterioration on the ward.
Discharge
Summaries, prescriptions and instructions are drafted for sign-off.
Follow-up
Check-ins and reminders reduce missed visits and readmissions.
Our success stories
Problems solved, in production
Real projects across AI, data, healthcare and commerce — from the first workshop to a live system.
Medical AI research
Breast Cancer Detection AI
Clinical-grade diagnostic and imaging assistance for cancer research — CNN classification combined with U-Net segmentation.
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E-commerce innovation
E-Commerce Website
Multi-vendor digital storefront and catalogue system for high-value designer commerce.
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Industrial IoT
IIoT Data Pipeline & Dashboard
Predictive anomaly detection and telemetry aggregation pipelines optimised for industrial manufacturing environments.
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Climate tech
Climate Data Classification
Large-scale climate intelligence and environmental classification platform for advanced data processing.
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Insurtech solutions
Health Data Visualization
Secure analytics suite and health data visualisation platform for high-volume enterprise tracking.
Read case studyCompliance and interoperability
Safe, standard and connected
We build to the privacy rules and health-data standards your hospital, regulators and partners rely on.
- HIPAA
Safeguards for protected health information.
- ABDM
Interoperability with India’s Ayushman Bharat Digital Mission.
- DPDP Act
Consent and purpose limitation for personal data.
- HL7 FHIR
Standard APIs to read and write EHR data.
- DICOM
Imaging exchange with PACS and modalities.
- ISO 27001
Information security management.
Clinicians decide. AI prepares.
Every suggestion is reviewable, explainable and logged — nothing reaches a patient record without sign-off.
Plan a pilotFAQ
Questions care teams ask us
Is patient data safe with AI?
Data stays in your environment or a compliant cloud region, encrypted, access-controlled and logged. Models can run without sending data to public services.
Does the AI make clinical decisions?
No. Our systems prepare drafts, flags and priorities; qualified clinicians review and decide.
Can it work with our HIS or EHR?
Yes. We integrate through HL7 FHIR, HL7 v2, DICOM and vendor APIs, and can add a light integration layer for older systems.
Do patient assistants support Indian languages?
Yes. Assistants can work in Hindi and other Indian languages, by text and by voice.
How do you validate accuracy?
Against your own historical data with clinician review — before go-live and continuously afterwards — with results reported for each use case.
Anything else? Ask an engineer →
Explore more
AI for other industries and capabilities
See how we apply AI in other sectors, or browse our core AI capabilities.
Start a conversation
Let's talk about AI for Healthcare.
Emailsales@pyzenlabs.com
Phone+91 99718 38777
NoidaSector 62, Uttar Pradesh
GurugramUdyog Vihar, Haryana