Research-informed design that keeps complex products simple, calm, and engaging.
MindTales
MindTales is an AI-enabled mental health platform that delivers high-quality digital wellness courses and connects users with mental health experts.
Project overview
MindTales is an innovative mental health platform that makes emotional wellness support accessible, convenient, and inclusive. The platform delivers science-backed digital wellness courses and offers secure access to licensed mental health advisors. With partnerships involving certified psychiatrists and scientists, MindTales ensures users receive the latest research-based emotional support.
Results in brief
- 40% higher engagement
- 25% better retention
- 35% fewer crashes
- 25% faster load times
Client Context
Domain: Mental Health & AI
Location: United Arab Emirates
Timeline: March 2022 – June 2023
Team: Project Manager, Senior Python Developer, Middle Python Developer, UX/UI Designer, Flutter Developer
Challenges
- Accessible mental health support — make high-quality wellness resources available to a diverse user base across the UAE.
- Scalable architecture — build a robust backend that can grow with user demand while maintaining security and responsiveness.
- Seamless user experience — deliver an intuitive, research-informed UX design to engage users meaningfully.
- Secure, private data handling — ensure sensitive health information is processed with the highest standards of security and compliance.
Tech stack
Backend
Frontend
Database
Delivery Approach
Mental health support only helps when people can actually reach it – and trust it with their most sensitive data. Intobi built MindTales through a careful, phased approach that prioritized accessibility, security, and a calm user experience.
Discovery
Intobi started by understanding what makes emotional wellness support hard to reach – fragmented resources, privacy concerns, and experiences that feel clinical rather than caring, then defined a platform that brings science-backed courses and licensed professionals together for a diverse UAE audience.
O
Oleksandr
Project Manager
Architecture
Intobi designed a scalable, security-first architecture built to grow with demand while protecting sensitive health data, with protected APIs governing every exchange between the mobile app and the backend.
D
Danylo
Senior Python Developer
Backend
On a Python backend with PostgreSQL, development focused on secure processing of sensitive user data, AI-enabled recommendation logic, and protected APIs, with Docker and AWS supporting reliable, scalable deployment and monitoring.
A
Andrii
Middle Python Developer
Frontend
Built with Flutter, the cross-platform app delivers a calm, intuitive experience on iOS and Android – wellness programs, self-help modules, encrypted messaging, and virtual therapy sessions – all shaped by research-informed UX to keep users engaged.
V
Valerii
Flutter Developer
Testing
Intobi validated the platform for stability, speed, and privacy, cutting app crashes by 35% and improving load times by 50% on the Flutter build, while compliance-minded development safeguarded sensitive health data and reinforced user trust.
O
Oleksandr
Project Manager
Ready to offer secure, science-backed mental wellness support to your users?
Contact usKey features
Unified mental health support platform
MindTales delivers an all-in-one app that integrates multiple mental health support resources: interactive wellness programs, virtual therapy sessions with licensed professionals, step-by-step self-help modules, customized emotional health plans, and encrypted in-app messaging, empowering users to strengthen coping strategies with evidence-informed tools they can use anytime.
AI-enabled recommendations
Smart algorithms deliver personalized guidance and curated content at every step of a user’s mental health journey, with adaptive learning paths that respond to progress and feedback, and actionable insights that help users recognize patterns and focus on what matters most.
Comprehensive feature suite for complete care
A broad set of features addresses diverse mental health needs: expert-designed wellness programs, private access to qualified therapists, structured self-help pathways for anxiety and stress, individualized plans, encrypted secure messaging, and gentle push-notification reminders that encourage consistent self-care.
Streamlined backend system
Intobi engineered a reliable, scalable system to meet increasing user needs: a Python backend processes sensitive user data securely, protected APIs safeguard data exchanges between the mobile app and server, a Flutter cross-platform app delivers a seamless experience on iOS and Android, and integrated monitoring and alerting support stability and proactive maintenance.
Results
MindTales delivered gains in engagement, reliability, and performance on a secure Python backend built to protect sensitive data and earn user trust.
higher engagement
40%
better retention
25%
fewer crashes
35%
faster load times
25%
Related Services
Cross-platform apps built for smooth, reliable performance on iOS and Android.
Can users access licensed mental health professionals directly through MindTales?
Yes, the case describes secure, private virtual therapy sessions with licensed professionals as a core platform feature, alongside self-help modules for users who prefer that route.
How is sensitive user data protected on MindTales?
The case describes a compliance-minded Python backend with protected APIs and encrypted in-app and therapy messaging, built specifically to meet the security and privacy demands of health data.
What platforms does the MindTales app run on?
The case describes a Flutter-based cross-platform mobile app delivering a seamless experience on both iOS and Android.
How does MindTales use AI?
The case describes AI-enabled recommendations that deliver personalized guidance and curated content at each step, with adaptive learning paths that respond to a user’s progress and feedback and surface actionable insights to help them focus on what matters most.