Case Studies

Production-ready applications we've delivered

Zenfulnote

Custom Build

Problem

Health and wellness startup needed a scalable mobile and web platform to serve growing user base with real-time sync, secure data handling, and seamless cross-platform experience. Required AI-powered personalized mental health exercise recommendations.

Solution

Custom-built from the ground up using Enterprise plan. Full-stack application with native iOS and Android apps, responsive web platform, and robust backend infrastructure. Implemented secure authentication, real-time data synchronization, and scalable architecture. Fine-tuned Llama 3 with thousands of custom training points to power AI-driven mental health exercise suggestions personalized to each user.

Outcome

Built as a full custom platform across mobile, web, and backend systems, with AI recommendations integrated into the product experience.

Stack

PHP/Laravel, PostgreSQL, Swift, Android, AWS, Llama 3 (Fine-tuned)

CQ Technologies

Custom Build

Problem

Home inspection company needed a comprehensive mobile tool to capture property data, generate professional reports, and streamline inspection workflows with offline capability and cloud sync.

Solution

Custom-built from the ground up using Enterprise plan. Flutter mobile application with FastAPI backend for report generation, image processing, and data management. Implemented offline-first architecture with seamless cloud synchronization and professional report templates.

Outcome

Streamlined the inspection workflow with mobile capture, report generation, and synchronized operational data across devices.

Stack

Flutter, FastAPI, PostgreSQL, AWS, Docker

ViaSync

Problem

ViaSync needed a simple, low-lift mobile product that let users connect and meet with other users quickly, without overengineering the initial release.

Solution

Built on the Starter plan for under $10k using a lean stack and free-tier tooling where possible. The app was delivered in Flutter with Supabase powering the backend, keeping the implementation lightweight, fast to ship, and easy to support. AI integration is planned as the next step, with full support continuing as the product evolves.

Outcome

The full app was deployed in less than a month. Delivery stayed fast, the lift stayed low, and ongoing support remains in place for continued iteration.

Stack

Flutter, Supabase, App Store deployment

View Project

What we deliver

Production-ready code with tests
Full repository access from day one
Deployment documentation
API documentation
Live preview environment
Code reviews and transparency
Post-launch support available

Have a similar project?

Let's discuss your requirements