AI Development for
Healthcare
We build HIPAA-aware AI for digital health teams: EHR integration, diagnostic support, patient engagement apps, and medical imaging AI. India based engineering team.
Healthcare teams building digital products face a problem that is not just technical. The data is rich but messy, the regulations are strict, and the users, whether patients or clinicians, have very little patience for tools that slow them down. Getting AI right in healthcare means building carefully and with the right architecture from day one.
We have shipped AI-powered health products that handle real clinical workflows. Here is what that work actually looks like.
What We Build for Healthcare Teams
EHR and Clinical Data Integration
Connect AI models to electronic health records without breaking HL7 FHIR compliance. Clean, parse, and structure messy clinical data so your AI has reliable inputs to work from.
Diagnostic Support AI
AI models that help clinicians identify patterns in patient data: lab results, imaging flags, and risk scoring. Designed to assist clinical judgment, not replace it.
Patient Engagement and Adherence
Intelligent mobile apps that remind patients, track care plan adherence, and surface the right content at the right moment. Built to reduce dropout rates from care programmes.
Medical Imaging AI
Computer vision models for radiology, dermatology, and pathology workflows. Trained on annotated datasets and integrated into existing clinical review tools.
Appointment Scheduling Automation
AI-powered scheduling that reduces no-shows, optimises slot utilisation, and routes patients to the right provider without manual intervention at every step.
Predictive Risk Modelling
ML models that identify high-risk patients before outcomes become expensive. Trained on your population data and integrated into existing clinical dashboards.
HealthTrack: A HIPAA-aware health companion app with 4.8 stars on iOS and Android
We built HealthTrack end to end for iOS and Android. The app covers vitals monitoring, nutrition tracking, workout logging, and live doctor consultations, all with HIPAA-aware architecture built in from day one. It launched to 68 percent Day-30 retention, more than double the industry benchmark, and a 4.8 star App Store rating across both platforms.
Read the HealthTrack Case StudyWhat building with healthcare data actually requires
Medical data is not like other enterprise data. HL7 FHIR shapes how data moves between systems. HIPAA shapes how it is stored and who can access it. DICOM matters for imaging workflows. Any AI sitting inside a clinical pathway also has to account for what happens when it is wrong, and how wrong it is safe to be before a clinician needs to override it. We build with these constraints from day one rather than retrofitting compliance at the end. That is why our healthcare clients do not encounter regulatory surprises once the product is already live.
Healthcare products we are most experienced building
- Digital health apps and consumer wellness platforms for iOS and Android
- Hospital and clinic management tools with clinical workflow integration
- Diagnostic support systems and clinical decision aid tools
- Patient-facing mobile apps with secure telemedicine and consultation features
- Health insurance claims automation and document processing pipelines
- Mental health and therapy support platforms
Want to talk about your healthcare product?
We understand the technical and regulatory complexity. Tell us what you are building and we will tell you what is realistic, what to watch out for, and how we would approach it.
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Tell us what you are building and we will come back within one business day with a plan, a timeline, and an honest cost estimate.
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A118, Sector 63
Noida, UP 201301
304 Krishna Classic, A.B Road
Indore, MP 452008