Beyond Dashboards.Beyond Chatbots.
Zynomi ships the industry's first Agentic Analytics platform for clinical trials — grounded in a governed semantic layer, powered by MCP, and delivering hallucination-free insights. While others struggle with 'chatbot fatigue,' we've built the complete stack.
Watch the AI Agent in Action
What is Agentic Analytics?
The Next Evolution in Data Intelligence
The term 'AI' is everywhere, but most tools hit a ceiling. They're helpful, but they don't fundamentally change the workflow. Real data work isn't about single questions — it's about multi-step investigation and reasoning. Agentic Analytics platforms don't just answer; they reason and act with rich context. They're digital teammates, not just tools.
Reason
Deep Context Understanding
A simple chatbot might translate 'show me enrollment' into SQL. But what does 'enrolled' mean? Is it consented? Screened? Active? An AI agent grounded in a semantic layer knows precisely how metrics are calculated because you've defined it once in a central, governed location.
Act
Multi-Step Analysis
The most significant leap from a chatbot to an agent is the ability to act on a goal through a series of steps. Ask for 'month-over-month enrollment growth' and the agent plans, derives the metric, and executes — even if that specific metric doesn't exist yet.
Expand
Growing Semantic Context
As your needs evolve, simply add new Cube models to expand the semantic layer. The LLM automatically gains access to richer metadata — new dimensions, measures, and joins — enabling increasingly sophisticated queries without any ML training or fine-tuning.
The Complete Agentic Stack
From Raw Data to Intelligent Insights
Zynomi CTMS is one of the first in the industry to ship a ready-to-use Modern Data Lakehouse with Semantic Layer, supporting Bring Your Own Data Visualizations and an Agentic Analytics AI Chatbot without hallucination. The entire lakehouse-to-semantic pipeline is packaged using dbt Core and Cube Core, but can be swapped to their cloud versions (dbt Cloud, Cube Cloud) for high-scale enterprise deployments.
AI Chatbot Interface
React MicrofrontendA custom-built React chat client embedded as a microfrontend plugin directly in the application — not just Claude or VS Code integrations. This provides a seamless, branded experience within your clinical trial management workflow.
MCP Server Bridge
Node.js + PythonModel Context Protocol connecting AI to your data
🔗 ctms-mcp-server.zynomi.com
Semantic Layer
Cube.devGoverned metrics, pre-joined views, consistent definitions
Data Lakehouse
dbt + Any DatabaseBronze/Silver/Gold medallion architecture with CDISC-compliant models. Connects to any database — default is PostgreSQL for development, with production support for Snowflake, Databricks, Redshift, BigQuery, and more.
Powered by Open Standards • Built for Enterprise Scale
Key Capabilities
Everything You Need for Intelligent Clinical Analytics
Pre-joined, business-friendly views that abstract the complexity of the underlying star schema. Consistent metric definitions across all tools — from AI chatbots to Tableau dashboards.
- Pre-aggregated clinical KPIs
- CDISC-aligned data models
- Single source of truth for metrics
Semantic Layer
Pre-joined, business-friendly views that abstract the complexity of the underlying star schema. Consistent metric definitions across all tools — from AI chatbots to Tableau dashboards.
MCP Server
Model Context Protocol bridge connecting AI assistants to your clinical data. 6 built-in tools for querying, exploring, and analyzing trial data programmatically.
Hallucination-Free AI
AI grounded in governed data models — knows exactly how 'enrollment rate' or 'adverse event severity' is calculated. No guessing, no fabricated data, just accurate, defensible analytics.
Bring Your Own BI
Connect Tableau, Power BI, Metabase, Looker, or any SQL-compatible tool to the semantic layer. Your analysts keep their favorite tools while benefiting from governed, consistent metrics.
Multi-Step Analysis
AI executes complex analytical workflows, not just single queries. Ask for derived metrics, comparisons across time periods, or cohort breakdowns — the agent plans and executes.
Extensible Semantic Models
Expand your analytical capabilities by adding new Cube models. The LLM automatically discovers new dimensions, measures, and relationships — delivering richer context without any ML training.
Data Lineage & Governance
From Source to Insight — Complete Transparency
Every metric, every dashboard, every AI response is traceable back to its source. Our medallion architecture (Bronze → Silver → Gold) ensures data quality at every step, while dbt provides complete lineage documentation.
Key Features
Medallion Architecture
Ready to Transform Your Clinical Analytics?
Join the future of data-driven clinical trials. Experience AI that truly understands your clinical data — no hallucinations, no guessing, just intelligent insights.