Step 1
Design Partner Pilot
6-8 week paid pilot for one certified deployment profile and one governed workflow: private inference, Srasta-Agent install path, admin setup, governance evidence, and executive readout.
Enterprise Pricing
Start free with Community Edition on one machine, then move to paid pilots and annual platform licenses when you need certified deployment, multi-node scale, support, SSO, HA, or production governance. You own the deployment, your knowledge, and your audit trail — no per-seat tax, no per-token meter, no lock-in.
Community: $0 · Pilot: from $25k–$50k · Platform: from $150k/year · Enterprise Plus: custom
Engagement Model
Step 1
6-8 week paid pilot for one certified deployment profile and one governed workflow: private inference, Srasta-Agent install path, admin setup, governance evidence, and executive readout.
Step 2
One-time deployment and validation work for the selected runtime profile, topology, release bundle, security evidence, install verification, and handover path.
Step 3
Move into recurring platform ARR once inference economics, governance fit, admin fit, operational fit, and expansion scope are clear. Pilot fees can be credited toward the first annual license.
Support
Ongoing upgrade planning, support bundles, sanitized diagnostics, security advisories, certified rollback support, and architecture reviews.
Commercial Structure
One-Time
Used to qualify fit, validate private inference, configure admin and governance planes, certify the selected deployment profile, and deliver the initial controlled deployment.
Recurring
Annual platform ARR covering private inference, install control, admin operations, governed memory, evaluations, audit posture, support, and optional managed operations.
Subscription Tiers
Community
Free single-node edition — yours to keep
$0 · Apple Silicon, Linux CPU, or single NVIDIA GPU beta
Team / Design Partner
Annual platform subscription
From $60k–$90k/year · one department, one deployment, limited workflows
Enterprise
Annual platform subscription
From $150k–$300k/year · production private AI with governance
Private inference, admin, knowledge base, tools, audit, and support
Enterprise Plus (Custom)
Annual platform subscription
From $400k–$750k+/year · advanced enterprise scope
Pricing Philosophy
Srasta does not use public per-user or token-only pricing because private AI deployments vary by infrastructure type, runtime profile, GPU class, concurrency, governed workflows, memory boundaries, admin scope, compliance posture, evaluation needs, certified image requirements, and SLA model. In self-hosted mode, inference spend is capacity-planned instead of metered by an external model vendor on every prompt.
Add-Ons
Conversion Path
Primary
Validate private inference economics, governance, deployment, admin scope, and production fit through one focused workflow.
Free
Run the full Srasta platform on one machine and share deployment intelligence, never customer content.
Secondary
For teams ready to prove private inference, admin onboarding, and governance evidence in customer-controlled infrastructure.
Tertiary
Self-serve install when an individual developer wants to evaluate basic mechanics before a commercial conversation.
Pricing FAQ
Srasta is used as an AI platform for financial services, an AI platform for healthcare compliance, and an AI platform for regulated industries with strict governance requirements.
Srasta pilots are sold as fixed-scope validation engagements, typically from $25k–$50k for six to eight weeks. Final pricing depends on deployment environment, governance scope, workflow count, runtime profile, and success metrics.
Srasta is priced as enterprise-controlled AI infrastructure and governance, not as a per-seat or per-token SaaS tool. The buyer value comes from certified deployment, private inference, admin control, governance evidence, and support.
Yes. Srasta provides private cloud and on-prem pricing guidance during pilot scoping and certified deployment planning once the workflow, runtime profile, and environment are known.
Include deployment model, runtime profile, GPU class, governed workflows, concurrency, governance controls, audit requirements, certified image needs, support package, and SLA scope when evaluating total annual cost.