Enterprise AI Operating System
Adopt AI safely — with governance, auditability, and measurable ROI. No data leakage. No vendor lock-in. No uncontrolled tool chaos.
RBAC, tool allowlists, full audit logs, and air-gap support — every AI action governed, logged, and reviewable. Built for CISOs, not startups.
A private AI agent gives every employee — engineers, analysts, operations — the productivity of AI without any data leaving your network.
Track cost per team, productivity gains, and model quality over time. Give your board the numbers — and your compliance team the audit trail.
The Problem
Your teams are already using AI.
AI adoption is happening — without structure.
The Answer
Srasta gives you structure.
A self-hosted AI platform built for enterprise — with access controls, full audit logging, knowledge governance, and observability built in from day one.
See What It Delivers →Not a chatbot. Not an LLM wrapper. Srasta is the Enterprise AI Operating System — governance, knowledge, tooling, and observability in one structured platform.
Ideal Customer
Built for organisations that need AI to work — without introducing new risks.
Any organisation — technology, legal, finance, healthcare, or operations — that needs AI to deliver real business outcomes and is ready to deploy it properly.
Teams where faster access to internal knowledge — policies, contracts, code, documentation — translates directly into measurable productivity gains.
Companies where IP, source code, and internal knowledge cannot leave the perimeter.
Finance, healthcare, defence, and legal — where audit trails and data residency are non-negotiable.
Srasta is not for
Srasta is for
Designed for serious organisations — not casual experimentation.
What It Delivers
Not infrastructure checkboxes.
A private AI coding agent improves engineering velocity without exposing source code to public AI. Agentic task execution, secure credential management, and full audit trail — all on your infrastructure.
Search internal docs, policies, codebases, and systems safely. Semantic retrieval across your organisation's entire knowledge base — private, governed, and always current.
RBAC, tool allowlists, and policy enforcement on every AI action. Full audit logs of what the AI did, what tools it called, and what data it accessed — ready for compliance review.
Track cost per team, productivity gains, and model quality over time. Real-time observability gives you the data to justify and optimise your AI investment to the board.
Security & Governance
Public AI tools cannot offer this.
Limit which teams and users can access which models, tools, and knowledge collections.
Define exactly which shell commands, git operations, and API calls the AI is permitted to make.
Every request, tool call, and model response is logged — ready for compliance and security review.
Separate knowledge collections and tool access per team, project, or business unit.
Your model weights run on your hardware. No prompts, responses, or IP ever reach a third-party API.
Deploy in fully isolated environments with no internet access — meeting the strictest security requirements.
Why Srasta beats OpenAI Enterprise
for regulated industries
Architecture
Every request flows through a governed, audited, private stack — entirely within your network.
Infrastructure
On-prem, private cloud, or hybrid — your data never leaves your network.
GPU servers in your data centre. Full control, zero external dependencies. Ideal for air-gapped and regulated environments.
AWS, Azure, or GCP — inside your VPC. No data leaves your cloud account. Supports all major GPU instance types.
VMware, OpenStack, or Proxmox. Deploy on your existing data centre infrastructure — no new vendor relationships required.
On-prem inference combined with cloud integrations. Own your models, leverage your existing cloud services.
Limited Access
We are working with a limited number of early enterprise teams to deploy and refine the Srasta platform inside real production environments.
Work directly with the team building Srasta — not a sales rep or account manager.
Hands-on configuration for your security model, knowledge sources, and governance requirements.
Your real-world requirements shape what Srasta becomes. Design partners have a direct voice in prioritisation.
Design partners receive preferred pricing on the initial deployment and ongoing support.
If your organisation is serious about structured AI adoption, we'd like to talk.
Apply to Become a Design Partner →Selection criteria
Engagement Model
Defined milestones, deliverables, and an executive readout.
Srasta is deployed inside your environment — on your hardware or private cloud. Your codebase, internal documentation, and knowledge sources are ingested into the private RAG layer.
Enterprise agents are configured for your specific use cases — developer acceleration, knowledge retrieval, documentation, or code review. Teams are onboarded with role-based access controls.
Tool policies, audit logging, and access controls are hardened. The observability dashboard is calibrated to track the metrics that matter to your organisation.
A structured evaluation report covering productivity gains, governance posture, knowledge retrieval quality, and a clear go/no-go recommendation for full deployment.
About
Srasta was created to solve real enterprise AI adoption challenges — not to build another demo or wrapper around a public API.
Designed for serious organisations. Not casual experimentation.
Pricing
Every engagement begins with assessment. Every contract is annual.
AI usage audit, governance gap analysis, infrastructure readiness review, deployment recommendation, and ROI opportunity mapping.
Private platform deployment, governance configuration, observability dashboard, 1–2 enterprise agents, and executive ROI findings.
Tiered subscription covering governance, knowledge intelligence, developer acceleration, and ongoing support. Billed annually.
For organisations beginning structured AI adoption with governance and knowledge intelligence.
For engineering-heavy teams requiring secure AI coding workflows and developer acceleration.
For security-sensitive or regulated enterprises requiring dedicated infrastructure, compliance posture, and managed deployment.
Schedule an AI Readiness Assessment
A 2-week structured audit of your AI risk, governance gaps, and infrastructure readiness — with a clear deployment recommendation. Fee credited toward your Pilot.
Schedule AI Assessment →Apply as a Design Partner
Selective early access for serious enterprise adopters. Pilot at $40k–$60k in exchange for roadmap collaboration, structured feedback, and a 3–6 month subscription commitment.
Apply as Design Partner →Pricing is indicative. Final engagement scope and fees are confirmed during the AI Readiness Assessment. Infrastructure costs (compute, storage) are separate and borne by the customer.
What's Next
Where Srasta is going next.
Team-level dashboards, usage quotas, and access management without touching config files.
Srasta hosted in your cloud account (AWS / Azure / GCP) — managed by us, owned by you.
Chain AI agents into repeatable business workflows — code review, doc generation, incident response.
Pre-built, policy-compliant agents for common enterprise use cases — deployable in one click.
Contact
Start with a structured pilot. Measure the outcomes.
Make the case to your board.
Srasta
info@srasta.ai