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The Cercle Platform

Overview

Built for improving care and accelerating research.

Cercle turns fragmented health data into usable insight. By harmonizing multimodal EMR data into a clean foundation, organizing it in the Biomedical Graph, and activating it through the Intelligence Layer, teams can explore patterns, build models, and ask complex questions.

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Architecture

Built to unlock precision insights from fragmented healthcare data.

Ingestion Engine

Cercle’s Ingestion Engine anonymizes and harmonizes multimodal clinical data into a unified source of truth, structured for AI with built-in traceability.

Biomedical Graph

The Cercle Biomedical Graph is a multidimensional, population-scale representation of that harmonized health data. It connects patients, events, and outcomes across time, protocol, and clinical context, enabling flexible exploration.

Intelligence Layer

The Intelligence Layer activates the graph with tools for prediction, modeling, and decision support, allowing data access through dashboards, simulations, and AI agent-driven insights.

Advantages

Built to make healthcare data make sense.

Not a black box
Cercle is designed for transparency, with embedded feedback loops such as editable agent outputs and clinician corrections that help improve outputs over time.
Makes fragmented EMR data usable
Cercle harmonizes fragmented EMR systems into a structured source of truth, empowering teams to access insights they could not see before.
Evidence-backed next steps
Custom agents help teams explore real-world data and move from insight to evidence-backed next steps.
Population intelligence for patient-level action
Cercle draws on anonymized real world cases to surface the best next step for the patient or research question, turning population-scale learning into actionable insight.
Built to scale across applications
Cercle uses the same foundation to support clinical workflows, research questions, and operational reporting, without rebuilding your approach every time the question changes.
Fully anonymized data
Data is de-identified end to end, with no personally identifiable information stored or accessible.
Audience

Built for women's health teams.

Providers

Use real-world data to support decisions, educate patients, and inform clinical pathways.

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Life Science Teams

Use real-world data to support decisions, educate patients, and inform clinical pathways.

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Trust and Transparency

Built to be trusted.

Built for providers and life science teams working with complex, real-world health data.

FAQ

Find clear, straightforward answers to common questions about the Cercle platform.

What is Cercle, in plain terms?
What is Cercle, in plain terms?
What is Cercle, in plain terms?
What is Cercle, in plain terms?
What is Cercle, in plain terms?

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