Enterprise Pricing

From readiness diagnostic to governed pilot to platform ARR.

Srasta can start with a free 30-day trial, but regulated teams usually need a paid readiness diagnostic first: a short engagement to map governance, deployment, cost-control, and pilot fit before moving into a customer-controlled pilot and annual platform subscription.

Diagnostic: $10k-$25k · Pilot: $50k-$250k

Free 30-day trial
Paid readiness diagnostic
Governed AI pilot
Annual platform ARR

Engagement Model

How Srasta moves from evaluation to production.

Step 1

Private AI Readiness & Cost-Control Diagnostic

1-2 week paid diagnostic for teams that need governance, deployment, cost-control, data-boundary, and pilot-scope clarity before committing to a governed AI pilot.

Book diagnostic →

Step 2

Governed AI Pilot

4-8 week customer-controlled pilot for teams with a sponsor, workflow, and environment: private deployment, governance setup, core workflow validation, audit evidence, and executive readout.

View pilot path →

Step 3

Annual Platform Subscription

Move into recurring platform ARR once governance fit, operational fit, and expansion scope are clear.

Alternative

Free 30-Day Trial

Self-serve install for teams that want to evaluate basic fit before a commercial conversation. No credit card.

Get a trial license →

Commercial Structure

Pilot work stays separate from long-term platform spend.

One-Time

Evaluation, Pilot, and Deployment Setup

Used to qualify fit, validate governed execution, and deliver the initial controlled deployment.

Recurring

Platform Subscription and Ongoing Support

Annual platform ARR covering governed execution, memory intelligence, evaluations, audit posture, support, and optional managed operations.

Subscription Tiers

Plans map to the maturity of governed AI operations.

Enterprise Starter

Annual platform subscription

Best For: Teams establishing secure AI foundations

  • Private platform deployment
  • Governance framework with RBAC and audit logs
  • Knowledge Agent for internal retrieval workflows
  • Prompt, memory, policy, and audit observability
  • Standard enterprise support

Enterprise Plus (Custom)

Annual platform subscription

Best For: Regulated and security-sensitive enterprises

  • Dedicated model instances
  • Compliance-focused deployment options
  • Managed infrastructure support
  • Multi-team rollout support
  • Premium SLA

Pricing Philosophy

Why pricing starts with scope, not seats.

Srasta does not use public per-user or token-only pricing because governed AI deployments vary by infrastructure type, GPU class, concurrency, memory boundaries, compliance posture, evaluation needs, and SLA model. The structure stays consistent, while the final number is scoped to your operating environment.

Add-Ons

What Sits Outside the Core Platform Subscription

Optional Expansion Items

  • Additional business units or team rollouts
  • Premium support and higher SLA coverage
  • Managed deployment and managed operations
  • Dedicated model clusters and air-gapped environments
  • Additional agents, integrations, or regulated hardening

Conversion Path

Next Steps

Pricing FAQ

Questions Teams Ask Before Budgeting

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.

How much does an enterprise AI pilot program cost?

Srasta pilots are sold as fixed-scope validation engagements, typically in the $50k-$250k range. Final pricing depends on deployment environment, governance scope, number of teams, and success metrics confirmed during the readiness diagnostic or pilot scoping.

Why not publish fixed per-user enterprise AI pricing?

Infrastructure, governance controls, and support models vary significantly across enterprises, so per-user pricing is usually misleading for real private deployments.

Can we get pricing for private cloud or on-prem AI deployment?

Yes. Srasta provides private cloud and on-prem pricing guidance through the paid readiness diagnostic, or during pilot scoping when a concrete workflow and environment are already known.

What should be included in enterprise AI pricing evaluation?

Include deployment model, GPU class, number of teams, concurrency, governance controls, audit requirements, and SLA scope when evaluating total annual cost.