Custom AI. Predictive Models.
Real Trial Impact.
Build and Customize AI & ML models to solve complex data challenges unique to your trials.
When Standard Analytics Aren’t Enough
Modern trials demand more than static reports and generic models. ThoughtSphere's Clinical Science and AI Engineering capability combines platform-native AI tooling with deep clinical science expertise — giving organizations the flexibility to build and operationalize models their way.
Build Your Own Models
Develop their own proprietary AI and statistical models directly within the platform
Engage Our AI Engineers
Engage ThoughtSphere AI engineers to design and implement custom models tailored to their study and data challenges
All models are developed and executed inside the governed platform environment so data stays protected, workflows remain traceable, and customer-developed models remain customer-owned.
Build and Run Models Where the Data Lives
The integrated data modeling workbench allows teams to design, test, validate, and operationalize models without moving data outside the controlled platform environment.
Key Features:
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Native support for R, Python, and SAS
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Built-in AI/ML and statistical libraries
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Interactive notebook-based development environment
Supporting:
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Integration with external historical and RWE data for combined analysis
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Predictive analytics & hypothesis testing
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Pattern detection & audit trail review
Interactive development environment for building and testing AI models against live clinical data.
From Prototype to Production With Built-in Governance
The integrated data modeling workbench allows teams to design, test, validate, and operationalize models without moving data outside the controlled platform environment.
Engineering & Governance Features:
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Code versioning and peer review workflows
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Git-based source control integration
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SDK functions for secure data access
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Model parameterization for study-specific reuse
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GxP-validated, 21 CFR Part 11 compliant environment
Custom models remain traceable, reviewable, and reusable — not one-off scripts.
Operationalize AI. Don't Just Experiment With It.
Models built in the workbench can be integrated directly into ThoughtSphere's data processor for scheduled, automated execution — turning AI into an operational capability.
Operational Capabilities::
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Schedule model execution against refreshed data
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Run models across single or multiple studies
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Trigger downstream analytics and workflows
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Combine curated + external datasets dynamically
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Enable continuous model-driven insight generation
Bridge the gap between data science experimentation and real-world trial operations.
All models developed in ThoughtSphere are:
Versioned
Complete version control for all AI models and code
Reviewed
Peer review workflows ensure quality and compliance
Validated
ISO27001 Certified — validated, secure foundation designed for regulated clinical environments
Reusable
Build once and deploy across multiple studies and programs
Bring Custom AI and Clinical Science Together
See how ThoughtSphere's Clinical Science and AI Engineering capabilities helps your teams build, validate, and operationalize AI models — directly within a governed clinical data platform.