Enterprise Pricing

Structured Enterprise AI Pricing, Not Open-Ended Consulting

Srasta engagements are priced in three layers: a fixed-fee readiness assessment, a fixed-scope enterprise pilot, and an annual platform subscription. Final pricing is tailored to your deployment model, governance scope, team count, and support expectations.

Pricing is tailored, but the commercial model is structured from day one.

Fixed-fee assessment
Fixed-scope pilot
Annual platform ARR
Schedule AI Readiness Assessment Request Enterprise Pricing Brief

Engagement Model

How Srasta Engagement Works

Step 1

AI Readiness Assessment (2 Weeks)

Fixed-fee discovery engagement covering AI usage, governance gaps, infrastructure readiness, and recommended deployment scope.

Step 2

6-Week Enterprise Pilot

Fixed-scope validation package for private deployment, governance setup, core workflows, and executive ROI readout.

Step 3

Platform Subscription

Annual recurring subscription priced by operational scope, number of teams, deployment model, and support level.

Commercial Structure

One-Time Engagements Separate from Annual Platform Spend

One-Time

Assessment, Pilot, and Deployment Setup

Used to qualify readiness, validate the operating model, and deliver initial deployment and onboarding work.

Recurring

Platform Subscription and Ongoing Support

Annual platform ARR covering governance, agents, observability, support, and optional managed operations.

Subscription Tiers

Enterprise Plans Designed for Security and Scale

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
  • Observability dashboard
  • Standard enterprise support

Engineering Tier

Annual platform subscription

Best For: Engineering-heavy teams with secure AI coding workflows

Includes everything in Enterprise Starter, plus:

Advanced Developer Acceleration Module

GdCoder + CLI Agent Mode

  • Repo-aware code intelligence
  • Secure merge request review automation
  • CLI-based agent workflows
  • Project-level memory isolation
  • Controlled execution workflows

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 Is Tailored After Packaging Is Defined

Srasta does not use public per-user or token-based pricing because enterprise deployments vary by infrastructure type, GPU class, concurrency, compliance posture, 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

Primary

Schedule AI Readiness Assessment

Start with structured qualification of governance, deployment, and operating model.

Secondary

Apply as Design Partner

Join the early enterprise cohort with direct implementation support.

Tertiary

Request Enterprise Pricing Brief

Request a concise pricing framework for internal stakeholder review.

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. Final pricing depends on deployment environment, governance scope, and number of teams confirmed during the AI Readiness Assessment.

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 pricing briefs for on-prem, private cloud, and hybrid deployments after qualification and deployment scoping.

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.

Schedule Assessment