Our Technology Stack
We built Altored Health on a modern, cloud-native stack designed for scalability, security, and rapid development. Each technology was chosen for its reliability and ability to meet healthcare compliance standards.
Core Technologies
Microsoft Azure
Our primary cloud platform, providing App Services for hosting, Blob Storage for data management, and built-in HIPAA compliance capabilities. Azure's integrated ecosystem allows us to manage infrastructure, databases, and deployment pipelines all in one place.
PostgreSQL
A robust, open-source relational database that stores our healthcare pricing data, user information, and application state. PostgreSQL's reliability and advanced query capabilities make it ideal for handling complex healthcare data relationships.
Prisma
Our database toolkit and ORM that simplifies database access with type-safe queries and automatic migrations. Prisma sits between our application code and PostgreSQL, making database operations faster to write and safer to execute.
Next.js
The frontend framework powering our user interface, deployed on Azure Static Web Apps. Next.js builds on React with server-side rendering capabilities, client-side routing, and a structured project model that keeps the codebase maintainable as the platform grows.
Node.js
Our JavaScript runtime for backend services, handling API requests, data processing, and integration with Azure services. Node.js enables us to use JavaScript across the full stack, streamlining development and code sharing.
Python
Used for data parsing, transformation scripts, and backend processing tasks where Python's extensive libraries excel. Python handles our data pipeline work, converting raw healthcare data into structured formats ready for the database.
External AI Services
Google Generative AI
Used to intelligently match medical procedure codes across different naming conventions and formats. Healthcare data is notoriously inconsistent, and Google Generative AI helps us reconcile these variations so that search results are accurate and complete regardless of how a procedure is coded at a given facility.
Groq
Powers the decision trees behind our plan recommendation engine. Groq's inference speed makes it well-suited for real-time reasoning over a user's search context, surfacing relevant insurance plan recommendations quickly without adding noticeable latency to the experience.
Development Tools
Visual Studio Code
The primary IDE used across the entire team. VS Code's extensive extension ecosystem, integrated terminal, and Git support made it a natural fit for a full-stack project spanning Python, Node.js, and Next.js development.
GitHub
Version control and collaboration managed through private GitHub repositories. The team used separate branches for cloud infrastructure and frontend development, with pull requests for merging feature work and GitHub Actions for automated deployment pipelines to Azure.
Why These Choices
This stack balances modern development practices with healthcare industry requirements. Azure provides the compliance framework we need. PostgreSQL offers the data integrity healthcare applications demand. Next.js delivers the user experience patients expect. Prisma and Node.js accelerate development without sacrificing quality. Python bridges the gap between raw data sources and our structured database. Google Generative AI and Groq extend the platform's intelligence, handling the messy reality of inconsistent medical codes and powering fast, context-aware recommendations. Together, these technologies let us move fast while building something secure, reliable, and genuinely useful.