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Coforge: Where AI engineering meets industry expertise.

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Composable Enterprise

Coforge Quasar™: Gen AI Management and Governance

Enterprise-grade GenAI governance, so your AI deployment is an asset, not a liability.

The Problem

 

“Our GenAI pilots can't get past procurement and legal, and when they do, IT can't guarantee compliance, the data team can't enforce access controls, and the board wants to know what happens if the model says something it shouldn't.”

 

 

 

What Quasar Does

LLMOps Software Development Kit (SDK)
Production-grade model lifecycle management, versioning, monitoring, and rollback without bespoke tooling per deployment.
Trust AI Guardrails
Real-time policy enforcement on model inputs and outputs keeps responses within defined boundaries before they reach end users.
Personally Identifiable Information (PII) Redaction
Sensitive data is stripped before it ever reaches the model, consistently enforced, and no per-deployment configuration is required.
Role-Based Access Control (RBAC) + Immediate Rollback
Granular access controls and hard rollback capability with a complete audit trail, governance that satisfies IT, legal, and the board simultaneously.

How Quasar Makes an Impact

 

Your GenAI program moves from pilot to production, not because the technology changed, but because the governance infrastructure finally exists to satisfy IT, legal, and the board simultaneously.

Where Quasar is Intended to Work

 

Quasar is designed for regulated industries where AI deployment risk has historically outweighed AI delivery benefits, including financial services, insurance, healthcare, and the public sector.

 

 

 

How To Tell if Quasar is the Right Solution

GenAI pilots blocked by compliance
Repeated approval failures where risk and legal are the final blockers, not technology readiness.
No consistent access control layer
Teams using different models with no central visibility into who is prompting what, with which data.
Board-level AI governance pressure
Leadership is seeking demonstrable assurance on AI behavior before approving a scaled deployment.