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AIMO is a forward-thinking fitness application. It is redefining how people look at daily movement and health. Focused on intelligent movement scanning and personalized exercise recommendations, AIMO partnered with CMARIX to transform its mobile app experience. Leveraging CMARIX's expertise in IONIC development and smart technology integrations, the collaboration empowered AIMO to deliver tailored fitness programs, real-time progress tracking, and seamless video-driven workouts. Together, AIMO and CMARIX have created a platform that turns fitness into an intuitive, sustainable habit for users worldwide.
Technology IONIC 7, TensorFlow, RevenueCat, bunny.net, MySQL
Industry Health & Fitness
Built for Web and Mobile Users
Access Germany
When AIMO first approached CMARIX to develop their Health & Fitness platform, they identified a significant market gap, particularly in the German wellness landscape. Despite Germany's strong focus on health insurance reimbursements for wellness services, the practical access to personalized, movement-based daily fitness tools was severely lacking.
Most fitness platforms offered generic programs without scientifically analyzing individual body movement patterns and imbalances.
Rising healthcare costs in Germany made preventive wellness a priority. However, accessible tools that focus on daily injury prevention exercises were missing.
Few fitness apps focused on the neurological aspect of movement training, despite growing demand for holistic fitness solutions.
German insurance companies encourage preventive care, but fitness apps were not structured to align with insurance certifications like ZPP.
Existing solutions offered lengthy, complicated routines. There was a lack of simple, "brushing your teeth" style micro-habit fitness plans that fit into daily life.
With Germany’s growing aging population and increased demand for physiotherapy, there was a clear lack of accessible, digital physiotherapy-aligned platforms.
Traditional fitness apps can’t provide real-time feedback on important aspects like body posture, stability, and flexibility through AI scanning.
A large portion of users would start fitness programs but abandon them within weeks due to lack of personalized guidance and motivation mechanisms.
Users had to use multiple apps (one for tracking, one for training, one for mobility) – there was no single integrated solution available.
CMARIX, in collaboration with AIMO, architected a platform that could intelligently understand, recommend, and track daily fitness routines through the integration of body pose detection and smart workflows.
Developed advanced camera-based pose detection using TensorFlow to capture and analyze user movement patterns.
Built logic that dynamically creates workout plans based on detected weak points in mobility, stability, and strength.
Added real-time feedback loops during workouts, so users can correct their form based on AI cues.
Created the "Daily 2" system – motivating users through micro-sessions focused on daily repetition and habit-building.
Developed compliance workflows ensuring that the app’s programs meet ZPP preventive health standards in Germany.
Integrated bunny.net for seamless delivery of exercise videos and scanning uploads, ensuring zero-lag user experience.
Added RevenueCat for in-app purchases, smooth subscription tracking, and renewals across Android and iOS ecosystems.
Added RevenueCat for in-app purchases, smooth subscription tracking, and renewals across Android and iOS ecosystems.
Built using IONIC 7 (Angular-based), offering a hybrid mobile app for both Android and iOS platforms.
RestFul APIs and MySQL database (for improving user management, scan storage, workout history).
TensorFlow models integrated into the mobile app to perform on-device movement scans and pose estimation.
Integrated bunny.net for seamless video content delivery (both exercise videos and scanned uploads).
Integrated RevenueCat API to track user entitlement. And manage subscriptions.
Google Firebase or custom analytics integration to track user performance, scan accuracy, and engagement rates.
GDPR compliance for Germany, secure user data handling (encrypted video uploads, SSL-based API communication).
Cloud-hosted backend with CDN support (bunny.net + AWS Cloud services for elasticity).
CMARIX designed and engineered the backend system for AIMO to ensure scalable, secure, and real-time fitness service delivery. Built for high user concurrency, video data handling, and AI-driven personalization, the backend forms the operational heart of the platform.
RESTful APIs built for secure and efficient communication between mobile apps and the server.
MySQL provides structured storage of user profiles, workout histories, subscription data, and other related results.
Secure user management system ensuring GDPR compliance and robust password encryption.
Backend coordination with bunny.net for video uploads (user scans) and video-on-demand (training content).
Backend stores and optionally processes pose detection results for tracking user improvements over time.
Backend stores and optionally processes pose detection results for tracking user improvements over time.
Backend enables custom in-app reminders and workout notifications based on user activity.
Data pipelines set for logging user interactions and app performance metrics for future product enhancements.
Regular database backup mechanisms ensuring zero data loss and service continuity.
IONIC 7 (Angular + Capacitor + Cordova)
MySQL
Likely AWS or similar (for scalability and GDPR compliance)
bunny.net
TensorFlow (for movement detection and body pose estimation )
RevenueCat
Custom OAuth / Firebase Auth (possible)
Firebase Analytics / Google Analytics
Firebase Cloud Messaging (for push notifications)
GDPR compliance tools, SSL/TLS for API communication
Your unique concepts will be crafted into a remarkable end result by our team.