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Digital Health & AI-Driven Mental Therapeutics

A cross-platform digital health ecosystem for proactive mental health management, clinical synchronization, and instant crisis intervention - powered by secure microservices, generative AI, and real-time telehealth.

Client
Under NDA
Industry
Digital health / Mental health
Platform
Web & Mobile
Services
Solutions architecture, Full-stack development, Mobile app development, AI integration

The challenge

This project is protected by a non-disclosure agreement: some product details, clinical specifics, and visuals cannot be disclosed. We describe our work without revealing the client's product.

The product is a digital health ecosystem for proactive mental health management: personalized psychiatric and therapeutic support, synchronization with clinics, and instant crisis intervention, delivered across web and mobile at scale.

The engineering bar was set by the domain itself: sensitive medical data demanding secure isolation, real-time workloads that cannot lag during a crisis, strict privacy boundaries around AI, and an experience that must reach users instantly in their hardest moments.

What we built

OKET worked as a full-stack software engineer and solutions architect, spearheading end-to-end development of the platform's cloud backend, web dashboard, and mobile applications. The backend is a resilient, secure microservices architecture on AWS - ECS and EKS, Lambda, and API Gateway - engineered for sensitive medical data and real-time workloads.

The mobile applications combine the speed of Expo with the extensibility of the React Native CLI, with robust deep-linking architecture and highly optimized interactive WebViews. A high-throughput, low-latency push pipeline with contextual deep links engages users instantly and takes them straight to stabilization features during critical moments.

We integrated and tuned LLM-based AI models for secure, 24/7 empathetic conversational support, behavioral tracking, and instant cognitive guidance within strict privacy boundaries. For clinical care, we built end-to-end encrypted WebRTC video and audio calling for HIPAA-compliant virtual appointments between patients and licensed clinic psychologists.

On top of that sit data-intensive tracking systems: real-time behavioral engines for sleep cycles and mood patterns, biometric analytics, and interactive low-latency UI modules that guide users through panic-attack stabilization protocols.

Cloud microservices architecture

A highly available, scalable microservices backend on AWS - ECS and EKS, Lambda, and API Gateway - with secure data isolation for critical mental health services.

Advanced cross-platform mobile engineering

Mobile apps combining the speed of Expo with the extensibility of the React Native CLI, robust deep-linking architecture, and highly optimized interactive WebViews.

Instant engagement infrastructure

A high-throughput, low-latency push notification pipeline with contextual deep links drives users to stabilization features during critical moments.

AI-powered conversational support

LLM-based models provide secure, 24/7 empathetic conversational support, behavioral tracking, and instant cognitive guidance within strict privacy boundaries.

Telehealth and secure video infrastructure

End-to-end encrypted WebRTC video and audio calling enables HIPAA-compliant virtual appointments between patients and licensed clinic psychologists.

Biometric analytics and crisis stabilization

Real-time behavioral tracking engines for sleep cycles and mood patterns, alongside interactive low-latency modules for panic-attack stabilization protocols.

Results

99.9%

Uptime for critical mental health services

24/7

AI-powered conversational support within strict privacy boundaries

100%

Video sessions end-to-end encrypted for HIPAA-compliant appointments

Technologies

  • React Native
  • Expo
  • TypeScript
  • Microservices
  • AWS
  • AWS ECS & EKS
  • AWS Lambda
  • API Gateway
  • WebRTC
  • LLM & AI APIs
  • Push Notifications
  • Deep Links

Build a digital health product with us

Sensitive data, real-time infrastructure, and AI that has to behave - we engineer health platforms end to end. Tell us what you are building.

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