12–18 Months Is the Average
The average time healthcare tech teams spend on their first product before launch — redesigning it three times, running out of runway before finding product-market fit.
Launch in 90 Days with AI Built In
Most healthcare teams spend 12–18 months on their first product — by then, the workflow has changed. We build healthcare MVPs in 90 days, with AI embedded from day one.
Book a Discovery Call
Tell us about your product idea. We reply within 24 hours.
Why 90 Days Is the Right Target
Most healthcare tech teams spend 12 to 18 months building their first product before launch. By the time they ship, the clinical workflow they built for has already changed — and the runway is nearly gone.
70% Run Out of Funding First
70% of digital health startups run out of funding before achieving product-market fit. Every month of development is a month of burn that narrows the window to succeed.
AI on Day One, Not Version Two
AI embedded in the architecture from the beginning produces a fundamentally better product than AI dropped into a system designed without it. The data flows differently. The value is different.
Our Process
What Goes Wrong When Healthcare MVPs Take Too Long
Four failure modes that appear in almost every over-scheduled healthcare build.
You Build What You Imagined, Not What Users Need
Assumptions baked in early harden with every sprint. By launch, the fixes go deep — and cost far more.
Compliance Becomes a Last-Minute Scramble
HIPAA, audit trails, access controls — these can't be retrofitted. Treating compliance as a final step delays launch or creates legal exposure the moment you go live.
AI Gets Added as an Afterthought
Planning AI for a "future phase" produces a weaker product. Embedded from the start, it changes how data flows, how users interact, and what value gets delivered.
You Run Out of Money Before Your First Real Users
Runway is finite. A product that takes 15 months to build and another 3 to find paying users frequently does not survive long enough to succeed.
How We Do It
A process built specifically for the pace healthcare demands. Hover or tap a phase to see what happens inside it.
-
Week 1–2: Discovery and Scope
Week 1–2: Discovery and Scope
We align clinical, operational, and technical stakeholders on the problem, first users, and compliance needs — then define what the MVP includes and what it doesn't. Scope discipline makes 90 days possible.
-
Week 2–4: Architecture and AI Design
Week 2–4: Architecture and AI Design
We build HIPAA compliance, FHIR compatibility, and AI into the foundation — not bolted on later. Capabilities, data flows, and integrations are specified before a line of code is written.
-
Week 4–10: Build
Week 4–10: Build
Two-week sprints, each ending with working software — real increments, not status updates. AI models are trained and validated against clinical scenarios throughout.
-
Week 10–12: Testing, Compliance and Launch Prep
Week 10–12: Testing, Compliance and Launch Prep
Security testing, clinical validation, compliance review, and UAT with real users — plus infrastructure, access controls, audit trails, and documentation. Everything needed before go-live.
-
Week 12: Launch
Week 12: Launch
A working product, deployed, with real users on it — not staging or a soft launch. Live feedback from day one.
What We Have Built in 90 Days for Healthcare Clients
Not demos. Not proof-of-concepts. Working, deployed products that real clinical and operational teams use every day.
Book a Discovery Call65%
Reduction in physician charting time — AI clinical documentation assistant embedded in a telehealth platform from day one of launch.
40%
Administrative workload reduction — prior authorisation tracking platform for a specialty practice group, live in 90 days.
3
Regional languages — member engagement app for a regional health insurer with AI care navigation, personalised health reminders, and benefits lookup.
Auto
Discharge coordination — hospital group tool that automatically generates discharge summaries, patient instructions, and follow-up scheduling from clinical notes.
Who This Is For
The 90-day build process is designed for organisations that need to reach real users fast — without cutting compliance corners.
Digital Health Startups
Hospital Innovation Labs
Healthcare Investors and Venture Studios
Established Healthcare Companies Launching New Products
90 Days From Now You Could Have a Product in the Market
Or you could still be in planning. The difference is the decision you make today about how to build. We scope, architect, and ship healthcare MVPs in 90 days — with AI embedded, HIPAA-ready infrastructure, and real clinical workflows from day one.
Book a Discovery Call
Award-Winning AI Development & Consulting
100 Fastest Growth Companies
Global Spring Winner
Top App Development Company
AWS Partner Network
Google Cloud Partner
Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member
Frequently Asked Questions
[ 1 ]
Is 90 days realistic for a healthcare product with compliance requirements?
Yes, because we build compliance in from the start rather than treating it as a final step. HIPAA-ready infrastructure, access controls, audit logging, and data encryption are part of the standard architecture on every project. They are not last-minute additions that delay launch.
[ 2 ]
What if we need more features than fit in 90 days?
We scope ruthlessly to what your first users genuinely need. Everything else goes into a prioritised backlog. After launch, we can continue development in sprints or hand off to your internal team with full documentation and clean, extensible code.
[ 3 ]
Do you have experience with Indian healthcare compliance requirements?
Yes. Alongside HIPAA, we build for DPDP Act compliance, ABHA integration, ICD-10 and SNOMED coding standards, and NHCX data requirements for insurance-facing products. Indian healthcare regulatory requirements are part of our standard compliance toolkit.
[ 4 ]
What AI capabilities can be included in an MVP?
Depends on the product. Common AI capabilities we embed in healthcare MVPs include clinical documentation automation, risk stratification, natural language processing for clinical notes, patient communication personalisation, fraud pattern detection, and predictive analytics for clinical or operational outcomes. We assess which AI capabilities genuinely belong in the MVP and which belong in later versions.
[ 5 ]
What is always included in the 90-day build?
Clinical-grade data security and access controls from day one. HIPAA-ready infrastructure on compliant cloud. Audit trails for every data access and every user action. AI capabilities tuned to your specific clinical or operational context. Integration with at least one core external system. A product your team can demo to investors, clients, or hospital decision-makers. And documentation your compliance and legal team can work with.
Global presence