AI-powered Mental Well-being application
A secure web & mobile solution helping companies support employee mental health through AI-driven insights, guided exercises, and real-time support.
About the Project
Mindflex is a digital mental health platform designed for modern companies that care about employee wellbeing, productivity, and long-term resilience. The product combines AI-powered mental health support, evidence-based practices, and intuitive UX to help teams manage stress, anxiety, and emotional wellbeing in a scalable and confidential way.
The Challenge
Technical challenges
Integrating multiple AI services (OpenAI Whisper for speech-to-text, GPT-4o for conversational AI, TTS for voice responses) into a seamless, natural user experience. The platform needed to run securely on Azure with CosmosDB, meeting German data protection requirements while supporting real-time AI processing for voice and text interactions across both web and mobile.
Product & UX challenges
Designing a mental health application that balances empathy with simplicity. Every interaction needed to feel supportive, never clinical or overwhelming. The AI-powered conversation flows had to feel natural while producing genuinely helpful assessments and recommendations. The admin dashboard needed to surface useful team insights without ever compromising individual employee privacy.
Business challenges
The German market lacked automated mental health solutions that could scale across corporate teams. Existing solutions were either expensive one-on-one consultations or generic wellness apps with no employer integration. The founders needed to validate a new product category while maintaining strict German data privacy standards on a startup budget.
What We Delivered
AI-generated adaptive assessments
Admin & analytics dashboard for employers
Voice-to-text implementation (OpenAI Whisper)
Guided exercises and stress-management tools
Personalized wellbeing recommendations engine
AI-powered mental health conversation flows
Work Process
1
Discovery & research
Collaborated with the psychology student founders to understand user psychology, corporate mental health requirements, and German compliance standards. Defined the AI conversation architecture and scoped the MVP to the features that would validate the core hypothesis.
2
UX/UI design
Created a calm, accessible, and trust-driven interface designed for sensitive user journeys. Every screen prioritized emotional safety - soft colors, clear progress indicators, and gentle transitions. The admin dashboard was designed to surface insights without any individually identifiable data.
3
Development & AI integration
Built secure web and iOS applications with multi-model AI integration - Whisper for voice input, GPT-4o for conversational flows and adaptive assessments, and TTS for voice responses. Deployed on Azure with CosmosDB for German-compliant data residency.
4
Testing & launch
Validated usability with target users in a corporate environment, stress-tested AI conversation flows for accuracy and sensitivity, verified data privacy compliance, and launched to production with monitoring for AI response quality.
Project team
Results
Explore how we’ve helped startups and enterprises solve complex challenges, accelerate growth, and launch innovative digital products.
100%
On-time launch of both web platform and iOS mobile app, covering employee-facing and admin use cases
Up to 40%
Reduction in time required for users to access relevant mental health support content
Zero
Critical security or privacy incidents during testing and early usage - meeting German data protection standards
3×
Higher engagement with guided mental health exercises compared to initial prototype benchmarks
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