The Srasta platform

From private models to useful work.

Connect your applications to private AI, bring in selected company knowledge, and manage the system throughout its life.

Company knowledge

Give AI the context your team needs.

Upload text-based PDF, DOCX, RTF, and supported text files, or ingest a Git repository. Configure source roles and connect a compatible client to the retrieval API.

Retrieval supplies document context to the model. Review source references and evaluate answer quality against questions your team can verify.

Start with a bounded evaluation

  • Use a representative document set
  • Define who may access each source
  • Compare answers with known examples
  • Check behavior when relevant information is missing

Scanned documents requiring OCR and automatic synchronization of workplace app permissions are not implied by document upload support.

Read the ingestion guide →

Models and access

Connect through a controlled entry point.

Use OpenAI-compatible endpoints with models selected for supported hardware. Manage identity, roles, and model permissions at the gateway, and review recorded activity.

The admin interface includes diagnostic chat for checking the inference path. Your employee-facing experience depends on the compatible client you choose.

A clear deployment boundary

Run private inference and retrieval on your infrastructure. Choose external integrations deliberately and review their data flows.

Explore access and security →

Day-to-day operations

Keep control after installation.

Understand health

Inspect infrastructure, service readiness, configuration, and model access in the admin interface.

Review activity

Inspect audit activity and export evidence for your own review processes.

Manage change

Use upgrade, backup, verification, and recovery workflows with documented operating procedures.

See how it fits your workflow.

A demo covers company knowledge, access controls, and operations. Bring your questions about infrastructure and evaluation.

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