Step 1
AI Readiness Assessment (2 Weeks)
Structured evaluation of AI usage, governance gaps, and infrastructure readiness.
Enterprise Pricing
Srasta pricing reflects the complexity and governance requirements of enterprise AI deployment. Engagements are tailored to your environment, infrastructure, team scale, and compliance scope.
Engagement Model
Step 1
Structured evaluation of AI usage, governance gaps, and infrastructure readiness.
Step 2
Private deployment and measurable validation of secure enterprise AI adoption.
Step 3
Tiered enterprise subscription based on operational scope and deployment scale.
Subscription Tiers
Enterprise Starter
Best For: Teams establishing secure AI foundations
Engineering Tier
Best For: Engineering-heavy teams with secure AI coding workflows
GdCoder + CLI Agent Mode
Enterprise Plus (Custom)
Best For: Regulated and security-sensitive enterprises
Pricing Philosophy
Srasta deployments vary based on infrastructure type, GPU class, concurrency requirements, compliance scope, and support model. Because of this, pricing is structured through consultation rather than public fixed-rate tables.
Conversion Path
Primary
Start with structured qualification of governance, deployment, and operating model.
Secondary
Join the early enterprise cohort with direct implementation support.
Tertiary
Request a concise pricing framework for internal stakeholder review.
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.
Pilot pricing depends on deployment environment, compliance scope, and team concurrency. Srasta scopes this during the AI Readiness Assessment.
Infrastructure, governance controls, and support models vary significantly across enterprises, so fixed public pricing is often inaccurate for real deployments.
Yes. Srasta provides tailored pricing briefs for on-prem, private cloud, and hybrid deployments after initial qualification.
Include deployment model, GPU class, concurrency, governance controls, audit requirements, and SLA scope when evaluating total annual cost.