Quick Summary
- ▸ CodeBranch helped a healthcare startup transform a manual, prompt-based prototype into a scalable, production-ready AI platform designed to assist physicians in real-time clinical settings.
- Full MVP delivered ahead of schedule, with additional functionality beyond the original scope.
- Scalable and maintainable production environment with CI/CD pipeline and code quality gates.
Overview
CodeBranch partnered with a healthcare startup to transform a proof-of-concept clinical assistant into a production-ready AI platform. The original prototype relied on a single, manually crafted prompt — effective for demonstrations but unsuitable for real-world clinical use. CodeBranch designed a multi-node LLM agent architecture using LangGraph, built a mobile-friendly web application with Next.js, and deployed the platform on a scalable infrastructure with CI/CD pipelines and automated code quality gates. The platform supports live consultation assistance, on-demand clinical chat, and an academic reference mode — all designed for physicians working in high-pressure emergency care environments.
Industries
Services Provided
- Custom Software Development
- AI Development
- Mobile App Development
Approach
The project was delivered by a six-person team: a Full Stack Developer, an LLM Engineer, a Project Manager, a Software Architect, and two QA Analysts. The backend was built with Python and FastAPI following Clean Architecture, with LangGraph orchestrating a multi-node LLM agent capable of routing across OpenAI, Anthropic, and AWS Bedrock. PostgreSQL with pgvector handled data persistence and semantic search. The frontend used Next.js with TypeScript, Tailwind CSS v4, NextAuth.js for authentication, and TanStack Query for efficient data fetching. Docker containers, a CI/CD pipeline, and SonarCloud integration ensured code quality and reliable deployments from day one.
Results
- Full MVP delivered ahead of schedule, with additional functionality beyond the original scope.
- Scalable and maintainable production environment with CI/CD pipeline and code quality gates.
- Internal beta testing underway with cross-functional medical teams.
- Platform ready for showcase at an international medical congress.
