TetraScience AI Services empower developers and scientists to transform data into decisions through seamless, secure APIs, and enable intelligent automation across scientific, lab, and enterprise workflows. Available through the Tetra Data Platform (TDP), TetraScience AI Services manage Scientific AI Workflow artifacts from the point they are registered to live inference and monitoring, while model training happens outside of the platform. AI Services handles the underlying compute, orchestration, and model-serving infrastructure so that scientists and application teams can call AI capabilities without having to manage clusters, endpoints, credentials, or scaling.

Each Scientific AI Workflow artifact is versioned and recorded with required metadata. Role-based access controls grant permissions to each workflow version. Administrators can also choose which workflow versions are made available for use in production, and which remain restricted for evaluation and testing. To support observability and audit requirements, AI Services also captures and reports operational metrics, such as usage, performance, and error rates.

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NOTE

TetraScience AI Services are currently available to Scientific AI Lighthouse (SAIL) Partners only as part of a limited availability release and must be activated in coordination with TetraScience. For more information, contact your customer account leader.

Scientific AI Workflow Lifecycle

TetraScience AI Services provide the following Scientific AI Workflow lifecycle management capabilities:

• AI Workflow Registration: Register AI Workflows on the TDP with rich metadata, including input/output formats, location, tokens, workflow type, and descriptions.
• AI Workflow Versioning: Track changes, improvements, and updates with versioning information included in data and metadata for evaluation and traceability.
• Multiple AI Workflow Types: Support for LLM (online/synchronous), Image Analysis (offline/asynchronous), and Data Analysis (online/synchronous) workflow types.

Prerequisites

TetraScience AI Services requires the following:

• Tetra Data Platform (TDP) v4.0.0 or higher (TDP v4.4.1 or higher is recommended)
• An active SAIL partnership with TetraScience.
• A TDP role that includes at least one of the following policy permissions :
  • Tenant Admin
  • Organization Admin
  • Developer
  • Machine Learning Engineer
  • Analyst
  • Operations

User Guides

For more information about how to use TetraScience AI Services, see the latest user guide:

• TetraScience AI Services User Guide (v1.0.x)

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..0.