Healthcare software clinicians will use, and patients can actually find.
We design, build, and rank healthcare platforms for hospitals, clinics, telehealth companies, and digital health startups. One compliant system for patient records, scheduling, billing, and care coordination — engineered from day one to be found by the patients looking for it.
The problems healthcare teams bring us.
Almost every engagement starts in the left column. The right column is what we build instead.
Patient records split across an EHR, spreadsheets, and paper charts, with staff re-keying the same data three times.
One patient record built on standards-based interoperability, that every system reads from instead of copying.
Scheduling and intake run by phone and front desk, so no-shows go unmanaged and bottlenecks stay invisible until they hurt.
Automated scheduling, digital intake, and reminder workflows that cut no-shows and surface a bottleneck before it forms.
EHR, billing, and lab systems that do not talk, forcing manual re-entry at every handoff.
Direct HL7 and FHIR integration, so orders, results, and claims move between systems without anyone re-typing them.
Compliance treated as a checklist completed shortly before an audit.
Audit logging, consent records, and access controls built into the architecture rather than added on top of it.
No reliable view of claims status, patient outcomes, or where the operation is losing time.
Dashboards built separately for clinical, administrative, and executive readers, all reading from one source of truth.
A practice that is excellent and effectively invisible — patients find competitors first, in search and in AI assistants.
Technical SEO and structured, citable content built into the platform, so the practice appears where patients actually look.
What we build for healthcare organisations.
Every system below is built around your clinical workflow rather than a template. Most engagements combine three or four of them.
The site, the content, and the technical SEO that put your practice in front of searching patients — and inside the answers AI assistants give them.
- —Technical SEO engineered into the build
- —Structured data for AI answer engines
- —Clinical content written to be cited
Connect your platform to existing EHR systems through HL7 and FHIR, or build the EMR functionality a generic system cannot support.
Secure video consultation, scheduling, and virtual triage that keep clinical documentation and consent intact.
Self-service access to appointments, records, messaging, and billing — which is also the fastest way to cut front-desk load.
Scheduling, staff workflows, bed and resource allocation, and administration in one system built around how your facility runs.
Automated claims generation, eligibility verification, and denial management, so getting paid correctly stops being manual work.
Wearables and home devices connected to clinical workflows, with the alerting logic that makes the data worth collecting.
Evidence-based guidance at the point of care, built around your protocols and specialty rather than a generic rule set.
Patient outcomes, claims performance, and operational metrics, reported differently for clinical, administrative, and executive readers.
Access controls, encryption, audit logging, and BAA-ready infrastructure designed in from the first architecture decision.
Who this is for.
We build for organisations moving from fragmented, manual systems to connected digital infrastructure — at any size.
Modernise scheduling, records, and reporting across departments without disrupting active patient care. Phased migration, not a single cutover.
Scheduling, intake, and billing sized for one practice or a multi-location group, without the overhead of enterprise hospital software.
Video, scheduling, and clinical documentation designed for care delivered primarily online, with the compliance work built in from the start.
Test orders, results delivery, and referring-provider communication in one system, which is where most of the turnaround time is currently lost.
Wearables and monitoring devices connected to clinical workflows, so care teams act on patient data instead of only collecting it.
Scheduling, secure messaging, and documentation built around the privacy and continuity-of-care needs specific to behavioural health.
Built to be found, not just built.
Most healthcare development partners hand over a working platform and stop. Search and AI visibility is a first-class discipline here, engineered from day one rather than bolted on after launch.
- 01Engineered for search from day one
- Site architecture, page speed, and semantic structure are design decisions we make before the first screen is drawn, not fixes applied once rankings disappoint.
- 02Structured for AI answer engines
- Services, locations, and clinical FAQs are marked up as structured data and written as extractable, factual statements, so ChatGPT, Perplexity, and Google AI Overviews can cite you accurately.
- 03Compliant content, indexed correctly
- Patient-facing pages get indexed. Anything touching protected health information never does. That boundary is enforced in the platform, not left to a robots.txt edit.
- 04Measured after launch
- Rankings, citations, and inbound patient enquiries are tracked as platform metrics, and we keep working on them as part of ongoing support.
Want to see what this looks like for your organisation?
A free consultation covers your current systems, the quick wins, and a scoped estimate.
What healthcare software costs to build.
Indicative India-market ranges for custom healthcare software. Compliance work — PHI safeguards, audit logging, access controls — is architectural, so it sits inside these figures rather than on top of them.
A single-purpose build: patient intake, a scheduling app, or a focused telehealth product with limited integrations.
Multi-user systems: patient portals, telehealth with EHR read access, or practice management with billing and scheduling built in.
Hospital management systems, bidirectional EHR integration, or clinical decision support running at high patient volume.
Your number depends on feature scope, integration count, and the compliance surface of your specific setting. We give you a scoped figure after discovery, not before it.
How we build healthcare software.
Before any architecture discussion, we map who touches patient data, at which point in the workflow, and which regulations govern it. This shapes every decision that follows.
The stack we build healthcare platforms on.
- Frontend
- ReactNext.jsTypeScriptReact Native
- Backend
- Node.jsNestJSPython.NET
- Data
- PostgreSQLMongoDBRedis
- Interoperability
- HL7 v2FHIR R4SMART on FHIRDICOM
- Cloud & DevOps
- AWSAzureDockerTerraform
- Integrations
- TwilioStripeAuth0Okta
We build on FHIR and HL7 from the start, so adding the next lab, EHR, or provider connection is configuration rather than a fresh point-to-point integration.
Models surface relevant history, flag potential interactions, and highlight risk patterns at the point of care. The clinician always makes the call.
Encryption, access logging, and BAA-ready configuration set up deliberately. Major cloud providers support compliance; they do not hand it to you.
Why healthcare teams choose us.
We understand how intake, scheduling, and care coordination actually work in a clinical setting, so systems get built around your workflow rather than a template.
Access logs, consent records, and audit documentation exist from the first sprint — the evidence trail that holds up under a HIPAA risk assessment.
Our founders have shipped more than 50 products and web apps end-to-end across India, the UAE, and the UK — direct experience with the compliance, localisation, and performance standards different markets demand.
We write for edge cases, failure states, and data accuracy rather than the happy path, because a bug in a healthcare product can affect patient safety.
A confusing screen under clinical time pressure means a missed medication or a delayed referral. Every flow is designed before it is built.
Lifetime support is the default engagement here, not an upsell. Regulations and integrations shift; we adapt the platform rather than handing it over and disappearing.
What changes after the build.
Scattered across systems and paper charts
Centralised, interoperable data available at the point of care
Manual and prone to no-shows
Automated scheduling and reminders that reduce missed visits
Manual processes and delayed reimbursement
Automated claims and eligibility checks that shorten the payment cycle
Reactive, reconstructed ahead of an audit
Built-in audit trails and documentation ready for review at any time
Invisible in search and absent from AI answers
Indexed, structured, and citable where patients are actually looking
Build healthcare software that fits how care actually happens.
A free consultation gets you an analysis of your current systems and workflows, the quick-win opportunities, a clear project scope and timeline, and transparent pricing for your specific needs.
Healthcare software development — common questions.
How much does healthcare software development cost?
Custom healthcare software typically costs ₹6L to ₹1.5Cr+ (roughly $7,000 to $170,000+) in the India market. Cost depends mainly on how many features and integrations the platform needs and how much compliance work is required, since HIPAA safeguards and EHR integrations add meaningful engineering effort.
How long does it take to build healthcare software?
Three to six months for an MVP, and up to twelve months or more for a full-featured platform. Timelines extend when a project involves EHR integration, multiple user roles, or extensive compliance testing before launch.
Can a legacy hospital or clinic system be modernised without disrupting patient care?
Yes. This is done through phased migration rather than a single cutover — the new system runs alongside the old one until it is validated, then departments move across one at a time. That is a lower-risk path than a full rebuild when the existing system still functions but is hard to maintain or integrate.
Can the software integrate with our existing EHR, billing, and lab systems?
Yes. We integrate through HL7 v2, FHIR R4, and SMART on FHIR where the systems support them, and through documented APIs where they do not, so data moves between systems without manual re-entry.
How is healthcare software kept secure and HIPAA compliant?
Through encryption, role-based access controls, audit logging, and regular security testing, built around HIPAA and any state-specific regulations relevant to your practice. Compliance requirements change over time, so the platform is built to allow rules to be updated without a rebuild.
How is patient consent managed within the system?
Consent is captured, timestamped, and stored as part of the patient record, tracking what the patient agreed to and when — particularly for telehealth visits, data sharing, and research participation. This is built into the data model from the start so the records hold up if reviewed.
Can healthcare software integrate with wearables and remote monitoring devices?
Yes. Most consumer and clinical-grade devices feed data in through manufacturer APIs or standard health data protocols. The harder part is the alerting and workflow logic, so care teams act on meaningful changes instead of being flooded with raw readings.
What is the difference between custom healthcare software and off-the-shelf tools?
Off-the-shelf tools get you running faster but limit how far you can adapt the product to your clinical workflows and patient population. Custom software takes longer to build but gives you full control over features, integrations, and data, which matters once the software needs to fit how care actually happens.
Do you handle search visibility for healthcare platforms?
Yes, and it is engineered in from day one rather than added after launch. That covers technical SEO, structured data so AI answer engines can cite you accurately, and a strict boundary that keeps patient-facing pages indexed while anything touching protected health information stays out of the index.
Do you provide support after launch?
Yes. Lifetime support is the default engagement here rather than an upsell — ongoing maintenance, monitoring, performance work, and feature development after launch, including adjustments as regulations in your market change.