
Volo Health, AI therapist
Osmium delivered End-to-End solution for a promising startup in psychology field. We delivered a MVP that can be easily maintained and expanded.
21 April 2025
Technologies
Used technologies
- iOS
- AWS
About the project
Case Study: Volo Health: AI Therapist
Client: Volo Health
Platform: iOS + Python Backend + AWS
Industry: Mental Health / AI Therapy
Overview
Volo Health is an innovative mental health platform that brings personalized, AI-powered therapy directly to users through a sleek iOS app. The app leverages deep psychoanalytic methods and adaptive machine learning to support users in their emotional journeys.
Our Contribution
The Osmium team was responsible for delivering the product end-to-end, covering all key aspects of development and deployment:
- ✅ Backend Development — Python-based, scalable and secure architecture
- ✅ iOS Application — Built from scratch with modern design and smooth UX
- ✅ DevOps — Full CI/CD pipeline, cloud infrastructure, monitoring
- ✅ AI Integration — Implementation of core AI workflows and prompt engineering
- ✅ Documentation — Technical documentation and handover materials
Core Features
- AI Therapy Sessions: Intelligent assistant engages users in reflective conversations, simulating real therapeutic dialogue using most popular techniques (CBT, IFS, Gestalt)
- Personalized Experience: Dynamic content based on user behavior and emotional trends
- Deep Psychoanalysis Tools: Inspired by classical methods to guide users toward self-awareness
- Data Security: Built with strict privacy controls and secure architecture
Technologies
- iOS: Swift, UIKit
- Backend: Python, FastAPI, PostgreSQL, Redis
- Infrastructure: Docker, AWS, GitHub Actions
- AI Stack: LLAMA3, LangChain, custom logic and fine-tuned prompts from real psychological data, Data mining
Outcome
- ⚡️ First MVP delivered in 3 months (October -January)
- 🔄 Smooth and responsive UI/UX with strong performance on mobile
- 🚀 Scalable and production-ready infrastructure
- 🔧 Continued support on AI refinement and feature expansion
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