The Scientific Use Case Factory is the execution layer of the Tetra OS. It replaces fragmented, project-based approaches with an industrial production model in which scientific use cases are designed, validated, productized, and continuously improved as durable, reusable assets. By combining AI-native data from the Scientific Data Foundry, the Factory productizes and mass-produces AI-enabled use cases and workflows as standardized, repeatable, and configurable processes.

Each use case in the Factory can be built once, validated once, and then reused and refined across teams, sites, and scientific domains.

Example Use Cases

• Analytical workflows
• Scientific applications
• Ontology-driven workflows
• Deviation detection
• Yield prediction
• In silico modeling
• Process analytics

The Role of the Factory in Scientific AI

Every use case produced in the Factory feeds learning back into Tetra AI, and every new ontology compounds across workflows and domains. Together with the Foundry, the Factory creates a self-reinforcing value-creation loop: more usage generates better data, which drives higher-quality insights, which in turn enables new, more powerful use cases.

Key Capabilities

Tetra Data & AI Workspace

The Tetra Data & AI Workspace helps you colocate your replatformed and engineered scientific data with analysis applications, and then correlate analysis results through Tetra Data Apps—all while maintaining a source of record in the Tetra OS.

By using the Tetra Data & AI Workspace, you can do any of the following:

• Visualize and analyze scientific data to generate analysis results
• Verify the data as part of the automated scientific workflow
• Easily associate primary data with analysis output
• Annotate scientific data to support AI/ML model training
• Generate predictions and performance AI/ML model inference and continuous learning

Tetra Data Apps

Tetra Data Apps enable Analytics and AI on your scientific data including Tetra Data. Once Data Apps are configured for your organization, users can access the apps through the Tetra Data & AI Workspace.

For a list of supported apps, see Supported Tetra Data Apps.

Documentation Feedback

Do you have questions about our documentation or suggestions for how we can improve it? Start a discussion in TetraConnect Hub. For access, see Access the TetraConnect Hub.

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NOTE

Feedback isn't part of the official TetraScience product documentation. TetraScience doesn't warrant or make any guarantees about the feedback provided, including its accuracy, relevance, or reliability. All feedback is subject to the terms set forth in the TetraConnect Hub Community Guidelines.