HealthTech / Functional Medicine
From data-rich
to data-intelligent
in six weeks
How VITech pulled BioEQ wearables, labs, and EMR records into a single AI-powered system and settled the CRM question.

Working MVP in 6 weeks
300+ devices, one integration
App Store review passed
At a glance
About the client
HealthTech / Functional Medicine
Key technologies
Flutter
Spring Boot
LangGraph
AWS
Athena EMR
Terra API
RAG
Engagement
Challenge
Turn a data-rich clinic into a data-intelligent one, without adding headcount.
Results
A validated architecture, a working mobile MVP, and a costly CRM mistake avoided.
The data was there,
but not the intelligence
The challenge
Providers reviewed charts one by one, with no population-level view
Office managers juggled calls, emails, and EMR portals, with no prioritization
Members saw their own data with no guidance on what to do with it
CRM choice still open. HubSpot and Salesforce unproven in clinical workflows
Discovery first, code second
The solution
Where does the MVP end?
Can AI be safely constrained to Functional Medicine knowledge?
Should the platform build on an external CRM or its own?
Key decisions made during Blueprint
CRM: rejected
HubSpot, Salesforce, and GoHighLevel—all built for marketers, not clinic staff. Recommended a lightweight, purpose-built engagement module instead, agreed on in week 2.
Athena EMR: read-only
Read-only via Certified FHIR API with 3-legged OAuth. Athena stays the system of record.
Terra API: one integration for 300+ devices
Oura, WHOOP, Apple Health, and more—one integration instead of building device-by-device.
AI: constrained by design
RAG grounded in Functional Medicine knowledge, clinic protocols, and provider rules. Bounded, explainable, human-reviewed.
The team presented a logical set of options, and we chose the best workflow to demonstrate the platform’s communication infrastructure. When a founder has an idea, they naturally gravitate towards the ‘ambitious features’, but the team did a great job grounding my thought process around what features will serve as the practical foundation.
What was built during Ignition
Core member flows (service requests, appointment booking, therapy, lab test requests) were built in Flutter for iOS and Android. A web portal gives providers cohort search and a population view.
Office managers see a structured work queue where every request appears with context, priority, and a clear action. Before, it was calls, emails, and guesswork.

After VITech
Providers query the full patient population in plain language, and AI surfaces who needs attention.
Office managers see every request with context, priority,
and a clear action.
Members receive physician-validated recommendations
and clear next steps.
What BioEQ received at the end of Launchpad
Deliverables
Every Launchpad closes with a complete set of validated decisions and working software—ready to hand off to the next phase without a reset.
Plus a team with full context of the product, domain,
and architecture, ready to move into Flow without starting over.
The impact
Six weeks turned three open questions into a validated architecture and a working MVP:


