Personalized coaching that adapts to your body form checks, bloodwork-aware plans, and an AI assistant that knows your training history.
NebuFit is a mobile fitness and health-coaching app built for people who want a personal trainer's level of feedback without the personal trainer's price tag. It pairs everyday workout tracking with AI-generated coaching: computer vision checks exercise form in real time, while bloodwork-informed insights shape training and nutrition plans around each user's actual health data instead of generic templates. A scalable backend handles authentication, onboarding, and subscriptions so the product works as a self-serve consumer app from first open to paid plan.
A built-in AI assistant, powered by retrieval-augmented generation, answers questions grounded in the user's own logged history and health metrics, turning the app into an ongoing coach rather than a static tracker. Voice-delivered recommendations and continuous progress tracking round out the loop, so users get guidance that adapts as their training history and bloodwork results change over time.
Python FastAPI 
React Native 
PostgreSQL Supabase 
Redis 
RAG 
Claude AI 
OpenAI GPT-4o Anthropic 
ElevenLabs 
Stripe JWT Sharp Getting real, form-corrective feedback (the kind an in-person personal trainer provides) was inaccessible to everyday users at a mass-market price point.
Training and nutrition guidance was based on generic templates rather than a user's actual bloodwork and health data, so plans weren't personalized to individual health conditions.
Fitness tracking apps functioned as static logs — there was no ongoing, context-aware coaching that could answer questions grounded in a user's own training and health history.
Real-time computer vision engine that scores exercise form frame-by-frame during workouts.
AI-generated training and nutrition plans that adapt to each user's logged bloodwork results.
Voice-based coaching recommendations delivered during and after sessions.
RAG-powered chat assistant grounded in the user's own workout and health history.
Authentication, onboarding, and subscription flows built for a scalable consumer backend.
Progress tracking dashboard surfacing trends across workouts, bloodwork, and coaching history.
Supabase/Postgres data layer with Redis caching for real-time sync across devices.
Delivered a comprehensive, end-to-end AI fitness ecosystem unifying computer vision form analysis, bloodwork-driven health intelligence, personalized coaching, payments, and authentication into a single consumer product.
Reduced the need for manual, human coaching by automating workout generation, nutrition planning, and health assessments with AI.
Achieved real-time AI coaching experiences at scale via streaming infrastructure with multi-provider redundancy for reliability.
Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services. Always recommend them to others.
Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.
Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.
Matt Quattrani
Founder & CEO
Dashboard.Earth is a mobile app that empowers individuals to actively engage in climate resilience by translating complex environmental goals into local, actionable steps.
Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.
Our experience with Techtiz is great. They help us to increase our revenue with their expertise and support services.
Joris Gunawardena
Co-founder Dashboard Earth
