Application Components
The Zynomi platform brings together web applications, mobile engagement, analytics, and AI-powered insights into a unified clinical trial ecosystem.
User-Facing Applications
Zynomi CTMS
Clinical Trial Management System — The central hub for designing, executing, and monitoring clinical trials.
- Study Design — Protocol configuration, eligibility criteria, and visit schedules
- eCRF Builder — Drag-and-drop form designer with CDISC-compliant fields
- Site Management — Multi-site setup with investigators and coordinators
- Subject Enrollment — Patient registration, consent tracking, and assignment
- Data Capture — Real-time eCRF completion and adverse event reporting
- Trial Execution — Visit tracking, progress monitoring, and compliance dashboards
- Master Data — Centralized configuration for sites, users, and forms
Sublink
Subject Link — The patient-facing mobile companion app functioning as an ePRO (Electronic Patient-Reported Outcomes) solution.
- Medication Reminders — Push notifications for dose schedules
- Health Tracking — Vitals, symptoms, and activity logging
- ePRO Collection — Patient-reported outcomes via guided forms
- Concomitant Medications — Subjects add/modify non-trial medications
- Visit Notifications — Appointment reminders and check-ins
- Study Portal — View active and historical trial participation
Study Coordinators monitor adherence and medication progress from the CTMS web app in real-time.
Analytics & Visualizations
Embedded dashboards within both CTMS and Sublink apps provide real-time insights across enrollment metrics, compliance tracking, subject status, safety summaries, and site performance.
AI Assistant
An embedded chat interface within CTMS enabling natural language conversations with clinical data — powered by MCP architecture, a governed semantic layer, grounded responses (no hallucinations), and multi-step analytical queries.
CDISC Reports
Generate regulatory-compliant ODM.xml exports directly from captured study data, including protocol definitions, form metadata, and subject records. Available to Coordinators, Principal Investigators, and Admins.
Platform Infrastructure
The following components power the analytics and AI capabilities of the platform.
Data Ingestor
Daily OLTP-to-lakehouse pipeline populating Bronze layer tables from transactional systems.
Data Transformation
dbt-powered pipelines building Bronze → Silver → Gold layers with domain-specific Data Marts and incremental transformations.
Semantic Layer
Governed metrics via Cube.dev with consistent definitions, dbt integration, and REST / GraphQL APIs.
MCP Server
Semantic Layer exposed as Model Context Protocol tools for AI agents with secure, governed access.
MCP-REST Bridge
Configurable LLM gateway (default: GPT-4.0 Mini) supporting any provider via a REST API interface.
AI Agent
Conversational interface supporting natural language queries, advanced formatting, and multi-turn conversations.
Component Summary
| Component | Type | Description |
|---|---|---|
| Zynomi CTMS | Web Application | Study design, execution, and monitoring |
| Sublink | Mobile Application | Subject engagement, ePRO, medication reminders |
| Analytics | Embedded | Real-time dashboards and visualizations |
| AI Assistant | Embedded | Natural language analytics over clinical data |
| Semantic Layer | Infrastructure | Governed metrics via Cube.dev |
| MCP Server | Infrastructure | AI tool-calling interface (Model Context Protocol) |
| dbt Pipeline | Infrastructure | Data transformation, lakehouse layers, and marts |