Technology Stack

An overview of the technologies, cloud services, and tooling that power the Zynomi platform.

Deployment Architecture

Architecture Philosophy

Zynomi is built on a simple, modern technology stack. While there are multiple components, each serves a specific purpose in delivering a comprehensive clinical trial platform.

Principle	Description
Loosely Coupled	Components are independent and can be updated separately
Plugin-Based	Features can be added without modifying core code
Horizontal Scaling	New capabilities added alongside existing ones
Microfrontend Ready	AI Chatbot installs as standalone widget

Competitive Advantage

Our strong architecture foundation enables rapid feature development and easy scaling. The platform is designed for extensibility without compromising stability.

Cloud Infrastructure

Core Services

Service	Provider	Purpose	Notes
Web App and Mobile Website	Vercel	Next.js hosting, edge functions, REST APIs	Serverless, auto-scaling
Healthcare Backend	Frappe Cloud	EHR, patient data, API backend	Managed by ERPNext, subscription-based
Database	Supabase	PostgreSQL, authentication, real-time	Included with Vercel integration
Cache Store	Upstash / Redis	Cube.dev cache, session management	Included with Vercel; in-memory for small deployments
Push Notifications	Firebase (Google Cloud)	Mobile push notifications	Free tier available
Source Control	GitHub	Code repository, CI/CD	Free tier available

Analytics Infrastructure

Service	Provider	Purpose	Notes
Data Ingestion	dlthub (Python)	OLTP to lakehouse pipeline	Python-based ETL
Data Transformation	dbt	Medallion architecture, data marts	OSS Core edition; Cloud available for scaling
Semantic Layer	Cube.dev	Governed metrics, REST/SQL APIs	OSS edition on Fly.io; Cloud available for enterprise
Data Lake	PostgreSQL (Supabase)	Default for small deployments	Can swap to Snowflake, Iceberg, Databricks
Container Hosting	Fly.io	Serverless containers for dbt and Cube	Pay-as-you-go

AI and Integration Services

Service	Provider	Purpose	Notes
API Gateway	KrakenD	Unified API endpoint, rate limiting	Self-hosted or Fly.io
MCP Server	Custom Built	Semantic Layer as MCP tools	Adheres to Cube.dev API/SDK standards
AI Agent / Chatbot	Custom Built	Agentic analytics interface	Not Cube.dev Cloud (enterprise-only)
LLM Provider	OpenAI (Default)	GPT-4.0 Mini for tool selection	Any commercial or OSS LLM supported

LLM Requirements

An LLM API subscription is required for the AI chatbot. Default is GPT-4.x Mini. Better models improve tool selection accuracy. No hallucination risk as responses are grounded via MCP tool-calling.

Mobile Application

Platform	Technology	Description
iOS	Native Shell	WebView wrapper loading Ionic mobile website
Android	Native Shell	WebView wrapper loading Ionic mobile website
Mobile Website	Ionic + Vue.js	Progressive web app hosted on Vercel

Security and Compliance

All services are configured with enterprise-grade security controls.

Capability	Description
Audit Trail	Complete activity logging across all services
Data at Rest	Encrypted storage for all databases and files
Data in Transit	TLS 1.3 for all communications
HIPAA	Healthcare data protection compliance
GDPR	Data privacy and protection compliance
SOC 2	Service organization controls

Development Environment

Hardware Requirements

Specification	Minimum	Recommended
RAM	8 GB	16 GB
CPU	4 cores	8 cores
Storage	50 GB SSD	100 GB SSD