Private AI use cases

Start with work worth improving.

Choose one team, one task, and an outcome you can assess. Srasta provides the private model access, retrieval, and operating foundation; your chosen client or application completes the workflow.

Company knowledge

Explore questions across selected internal documents. Review sources, missing information, and access boundaries.

Explore knowledge →

Coding

Evaluate code explanations, focused changes, and test suggestions with a suitable model and compatible coding client.

Explore coding →

Your own applications

Bring another useful task.

Summarization, extraction, classification, and drafting are other workflows to evaluate through model endpoints. Define the inputs, expected output, and review process before choosing a model.

These are application possibilities, not prebuilt integrations. Fit depends on the model, client, deployment, and integration work.

Agree on a clear evaluation

  • A representative set of tasks
  • A supported model and deployment
  • Client and data-flow requirements
  • Output quality and failure criteria
  • An owner for operation and review
Read the evaluation guide →

Talk through your first workflow.

Bring the outcome you want to improve. Confidential documents or code are not needed to book.

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