Private AI for your business

Run private AI.
Keep control of your data.

Run private AI for knowledge, coding, and business applications on infrastructure you control. Bring models, access controls, and operations together, and connect the tools your team uses.

Self-hosted software. Your infrastructure. Optional help getting started.

Two places to start

Useful work. On your terms.

01 / KNOWLEDGE

Put company knowledge to work

Ask questions across selected documents, inspect supporting sources, and evaluate access boundaries with a compatible client.

Explore knowledge workflows →
02 / CODING

Bring private AI to development

Evaluate code explanation, bounded changes, and test suggestions using a suitable model and compatible coding client.

Explore coding workflows →

Other starting points include summarization, extraction, classification, and drafting inside your own applications. Each needs a suitable model, integration, and evaluation.

One platform, from setup to daily use

Make private AI useful to your team.

Start with one workflow. Srasta brings the infrastructure and controls together so your team can focus on putting AI to work.

01 / KNOWLEDGE

Work with your information

Upload documents or connect a Git source. Retrieve relevant context with role-aware access for internal AI workflows.

Explore company knowledge →
02 / CONTROL

Decide who can use what

Manage identity, roles, and model access. Keep an activity record for review inside your deployment.

Explore security →
03 / OPERATIONS

Keep the platform running

Inspect runtime health, manage configuration, and handle upgrades and recovery through the operator interface.

Explore operations →

Start with a real workflow

One team. One workflow. A clear result.

Choose a knowledge task, a coding task, or a focused application workflow. Agree on what a useful result looks like, then evaluate the model, client, access controls, and operating requirements together.

A focused first evaluation

  • One team and representative documents or coding tasks
  • Expected outcomes your team can assess
  • Roles and access requirements
  • A supported deployment configuration
  • Clear success criteria before a paid pilot

Guided pilots are optional, separately scoped engagements.

Understand the data boundary

Private by deployment. Clear about connections.

Inference and retrieval run in your environment. Hosted services handle acquisition, licensing, and catalog selection. Optional integrations and operational telemetry have their own data boundaries.

Choose a supported configuration

Blackwell Gb10 / vLLM single nodeCertified now
Apple Silicon / MLX single nodeCertified now
Blackwell Gb10 / vLLM single nodeCertified now

Availability follows the published support catalog. License entitlement does not certify additional hardware or topologies.

Requirements and supported deployments →

Planned product direction

Memory and agents, built around your business.

Planned · Not available today

Srasta Membrane

Persistent, permission-aware context for longer-running work. The direction is managed memory, not automatic model retraining.

Explore the Membrane direction →
Planned · Not available today

An agent harness for your team

A foundation for companies to build their own agents using models, tools, and memory, with clear execution boundaries.

Explore the agent roadmap →

Scope, availability, and pricing are not yet committed. Evaluate Srasta against current capabilities.

Choose your next step

Explore independently. Talk when you need to.

Try Srasta

Review the requirements and request a free 30-day trial for a supported configuration.

Start an evaluation →

Book a demo

See the platform and discuss your workflow, infrastructure, and evaluation goals.

Book a demo →

Plan a business deployment

Discuss licensing, support, or an optional guided pilot. Customer infrastructure is priced separately.

Explore plans →

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