Adopt AI safely — with governance, auditability, and measurable ROI.
No data leakage. No vendor lock-in. No uncontrolled tool chaos.
Your teams are already using AI.
AI adoption is happening — without structure.
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 →Srasta is not a chatbot. Srasta is not an LLM wrapper. Srasta is the Enterprise AI Adoption Operating System — governance, knowledge, tooling, and observability in one structured platform.
Built for organisations that need AI to work — without introducing new risks.
Large enough to have real AI needs. Small enough to move fast on deployment.
High developer-to-headcount ratio where coding acceleration delivers immediate, measurable ROI.
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.
Board-level outcomes. Not infrastructure checkboxes.
GdCoder improves engineering velocity without exposing source code to public AI. Agentic task execution, credential vault, and full audit trail — all on your infrastructure.
Search internal docs, policies, codebases, and systems safely using private RAG. Hybrid semantic + keyword retrieval across your organisation's entire knowledge base.
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 latency, token usage, cost per team, and productivity gains over time. Langfuse gives you the observability to justify and optimise your AI investment.
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.
Every request flows through a governed, audited, private stack — entirely within your network.
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 →A structured programme with 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 is prepared covering productivity gains, governance posture, knowledge retrieval quality, and a clear go/no-go recommendation for full deployment.
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.
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.
Start with a structured pilot. Measure the outcomes. Make the case to your board.