SERVICES
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Healthcare AI Product Studio

Build and launch your healthtech product in the AI era

Design, build, launch and evolve digital health products. From discovery and clinical workflow strategy through engineering and post-launch iteration.
Inside BAA, CMS & OCR
HL7 / FHIR
Field-level encryption
Access control down to the patient
HOW WE CAN HELP

We don't just build features: we build for the distance between a demo and a system that runs in a clinic.

1
AI Product Discovery & Clinical Strategy

From vision to validated roadmap

We de-risk your investment by aligning technical possibilities with clinical reality and business goals. We don't start with code; we start with “Why” — and in healthcare, with who actually has to use this at 7am on a busy floor. Discovery identifies where the leverage is and validates product-market fit before scaling.
KEY OUTCOMES
Validated Prototypes
AI Opportunity Assessment
Strategic Technical Roadmap
CAPABILITIES
Discovery Workshops
Service & Business Design
Product Research
Design Sprints
Concept Design
UX Strategy & User Journey Mapping
Product Management
Fractional CTO
Clinical Workflow Mapping
Regulatory & Compliance Scoping
Patient & Provider Journey Mapping
Hands-Free Field UX
2
Build & launch

Compliance controls that run on every pull request

In healthcare, compliance is not a phase before launch — it is an architectural constraint from the first sprint and a check that runs on every change. Our GRC framework declares controls as JSON with regulatory citations and evaluates them against Terraform infrastructure automatically. Client-side field-level encryption on MongoDB and AWS KMS, with role-based access from organization admins through providers and partners down to patients.
KEY OUTCOMES
Market-Ready MVP
Encryption & Access Model in Place
Go-To-Market Execution
CAPABILITIES
Full-stack Web & Mobile
Generative AI Integration
MVP Development
Agile Management
Machine Learning Models
Data Engineering
UI/UX Design
Prototyping
Design Systems
Automated Testing
End-to-end Quality Assurance (QA)
EHR / FHIR Integration
Medplum
Client-Side Field-Level Encryption
PHI Data Handling
3
Product evolution & engineering optimization

Scaling performance and maximizing ROI

Success doesn’t end at launch. We iterate on real-world clinical and usage data, cut technical debt and optimize your infrastructure. We scale your team and your tech stack — while keeping audit trails, access controls and compliance posture intact as the product changes.
KEY OUTCOMES
Reduced Tech Debt
Optimized Cloud Infrastructure
Continuous Data-Driven Growth
CAPABILITIES
DevOps
Cloud Migration (AWS/GCP/Azure)
Infrastructure as Code
Legacy Code Refactoring
Security & Performance Reviews
Tech Stack Modernization
A/B Testing
User Analytics Integration
Backlog Prioritization
Continuous Delivery (CI/CD)
Audit Trails & Access Controls
Multi-Tenant Architecture
Role-Based Permission Systems

We use this practice on our own products

The same discovery, build and iteration process we run with clients is how we built and shipped our own health products. They're live in the app stores.

AI health companion

Redi

Redi is an AI-powered app that helps patients prepare for medical visits. Redi guides you through a short questionnaire to prepare for your medical appointment. Generating clear, personalized questions and points to discuss with your doctor always keeping your data private and secure.

On-device AI

XL Care

XLCare is our first health companion app built on top of RN Health Link. Combining wearable data with on-device AI assistant, it focuses on delivering personalized, privacy-first health insights through a conversational interface, showcasing how our research foundations evolve into real, user-facing applications.

Turn your clinical insight into a product that ships

Reach out to get a free project scoping: time-frame, cost & team structure.

Let's talk