Self-hosted private AI platform
Srasta installs private inference, governed RAG, admin operations, and audit evidence inside the customer perimeter. The model can change; your knowledge, policies, and evidence stay yours.
Supported deployments
Catalog is the authority for supported hardware, inference engines, model bindings, runtime adapters, and certification status. The installer consumes those decisions instead of inventing its own.
Governance and audit
Identity, RBAC, model access, license posture, rate limits, policy, and audit happen before execution. Customer prompts, documents, embeddings, secrets, and audit payloads stay outside Gandiva telemetry.
Product boundaries
Private inference, governed RAG, admin, install control, and audit are the GTM product. Membrane and Measure Loop are future capabilities for turning governed usage into reusable organizational intelligence.
srasta platform path live Choose your path
Srasta has one buyer journey, not a maze. A 30-day trial gets a qualified operator moving. Community remains the free single-node path. Paid pilots prove a real workflow. Enterprise scopes expand only after the deployment, governance, and operating evidence are clear.
Catalog decides which deployment profiles can be installed. The customer platform consumes those decisions; it does not hardcode model, engine, or hardware support.
Use a time-bound license to install a certified deployment profile and prove fit before a sales conversation.
Start trialKeep running one certified node with Community limits when the trial is not yet ready for paid scope.
Review CommunityValidate deployment, admin handoff, RAG, audit, and business evidence with Srasta help.
Request pilotExpand only after the pilot evidence supports production operations, support, and security review.
See pricingWhat Srasta does
One platform: private inference, install and recovery, users and access, and audit evidence — all in your environment. Not a chat app with governance bolted on, and not a thin model proxy.
Host open-weight models on customer-controlled GPUs and route requests through an OpenAI-compatible path that security and finance can reason about.
Use guided topology, preflight checks, smoke verification, upgrade, reset, rollback, backup, and recovery workflows instead of brittle deployment scripts.
Give admins a plane for users, teams, roles, licenses, model access, onboarding, runtime health, and operational handoff.
Capture model, prompt, memory, tool, policy, and admin events so security teams can review evidence instead of trusting screenshots.
Why now
Regulated and security-conscious teams want AI in production, but public token-metered inference, scattered admin surfaces, role-blind access, and disconnected audit tooling create a stack security, finance, and platform teams cannot approve.
The platform thesis
Srasta productizes the whole operating layer: private inference, install control, admin operations, a governed knowledge base, policy-controlled tools, and compliance evidence — all owned by you and portable across whatever open-weight model runs underneath. The model is a commodity you can swap; the control, the knowledge, and the audit trail are yours to keep.
The product
Srasta runs in the customer environment, starting with certified single-node deployment profiles and expanding through paid, proof-gated enterprise deployment scopes.
Run open-weight models on customer-controlled GPUs, route through an OpenAI-compatible gateway, and replace runaway external token bills with capacity planning.
Scoped retrieval, reranking, and context controls so AI answers with your company's knowledge — not the public internet — with memory behavior you can evaluate.
Install, inventory, topology placement, preflight checks, smoke verification, release identity, reset, rollback, upgrade, backup, and recovery workflows.
Onboard users and teams, assign roles, manage model access, configure licenses, monitor runtime health, and operate the platform without shell folklore.
Audit auth, inference, memory, tools, and admin actions; enforce RBAC and policy; produce evidence for compliance and security review.
See prompt quality, routing decisions, policy outcomes, and runtime health — the operational truth behind every governed response.
Platform layers
Srasta is not a chat UI, a thin model proxy, or an installer. It is the runtime, admin surface, and governance layer around private enterprise AI: every request is scoped, routed, observed, and recoverable.
View deployment guideEvidence, not slideware
Not a staging demo — a real customer operates on the released code path, upgraded canary-first on every tag. The same platform installs in customer-controlled infrastructure, routes private inference through a governed gateway, onboards users and roles, and produces audit evidence for security review.
For buyers, the first motion is a paid design-partner pilot around one workflow with clear governance, deployment, and cost-control outcomes.
Certified single-node deployment profiles today, with guided multi-host and Kubernetes reserved for paid, proof-gated enterprise scopes. Every supported path must pass hardware probing, placement, smoke verification, rollback, reset, and signed release evidence.
vLLM on GPU, host-native MLX on Apple Silicon, LiteLLM routing, on-box embeddings on arm64, and a curated model catalog with hardware-aware fit.
OIDC + RBAC, forwarded signed identity, a per-role model whitelist, rate limiting, and a hash-chained (SHA-256) audit log with a verify step.
Config history, runtime overview, ingest management, hardware inventory, user onboarding, role grants, backups, upgrades, rollback, and release verification hooks.
Best-fit buyers
The broad market is any enterprise that needs private, governed, company-aware AI. The strongest early buyers have enough compliance pressure to block unmanaged AI, enough cost pressure to question token-metered usage, and enough urgency to run a focused pilot.
Pilot narrative
The strongest pilot proves that Srasta can run a real request through private inference, role-aware access, governed memory, policy-controlled tool execution, and an audit trail an operator can review.
Customer funnel
The website now mirrors the product motion: trial for self-serve evaluation, Community for a free single-node path, paid pilot for a governed workflow, and Enterprise only after the evidence supports production.
Issue a trial license, install a certified deployment profile, and validate basic fit.
Keep a free single-node path or scope a paid pilot around one real workflow and operator handoff.
Turn successful evidence into an annual platform license, support model, and expansion plan.
Product boundaries
Technical confidence
Srasta keeps the top-level site buyer-focused, but the proof is still visible: security posture, deployment confidence, architecture, operator controls, and implementation-backed documentation.
Contact
Use this form when you have a sponsor, workflow, or environment ready to evaluate. Trial and Community requests use the self-serve license path; this form is for qualified paid-pilot conversations.
