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.
| Capability | Description |
|---|---|
| Study Design | Protocol configuration, eligibility criteria, 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, assignment |
| Data Capture | Real-time eCRF completion, adverse event reporting |
| Trial Execution | Visit tracking, progress monitoring, 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.
| Capability | Description |
|---|---|
| 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 and Visualizations
Embedded dashboards within both CTMS and Sublink apps provide real-time insights.
| Metric Category | Examples |
|---|---|
| Enrollment | Metrics, trends, targets |
| Compliance | Visit adherence, form completion |
| Subject Status | Active, completed, withdrawn |
| Safety | Adverse event summaries |
| Site Performance | Enrollment rates, data quality |
AI Assistant
An embedded chat interface within CTMS enabling natural language conversations with clinical data.
| Feature | Description |
|---|---|
| MCP Architecture | Tool-calling for structured queries |
| Semantic Layer | Governed metrics as data source |
| Grounded Responses | No hallucinations, real data only |
| Multi-Step Queries | Complex analytical conversations |
CDISC Reports
Generate regulatory-compliant exports directly from captured study data.
| Feature | Description |
|---|---|
| ODM.xml Export | CDISC-compliant data format |
| Study Definitions | Protocol and form metadata |
| Clinical Data | Subject records and observations |
| Access Control | Available to Coordinators, PIs, 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 the Data Lakehouse:
- Bronze, Silver, Gold layers
- Domain-specific Data Marts
- Incremental transformations
Semantic Layer
Governed metrics layer powered by Cube.dev:
- Consistent metric definitions
- dbt-to-Cube integration
- REST and GraphQL APIs
MCP Server
Semantic Layer exposed as Model Context Protocol tools:
- AI agents query via MCP
- Secure, governed access
- Tool-calling compatible
MCP-REST Bridge
Configurable LLM gateway:
- Default: GPT-4.0 Mini
- Any LLM provider supported
- REST API interface
AI Agent
Conversational interface:
- Natural language queries
- Advanced formatting
- Multi-turn conversations
Architecture Overview
Component Summary
| Component | Type | Purpose |
|---|---|---|
| Zynomi CTMS | Web Application | Study design, execution, monitoring |
| Sublink | Mobile Application | Subject engagement, ePRO, reminders |
| Analytics | Embedded | Real-time dashboards and visualizations |
| AI Assistant | Embedded | Natural language analytics |
| Semantic Layer | Infrastructure | Governed metrics via Cube.dev |
| MCP Server | Infrastructure | AI tool-calling interface |
| dbt Pipeline | Infrastructure | Data transformation and marts |