Model-agnostic
Connect Claude, ChatGPT, Copilot, Gemini, Perplexity, and internal models through MCP or API.
Pricing
Make AI output traceable across your enterprise.
Bring claim verification, source evidence, human review, and leadership oversight into one governed layer across the AI tools your workforce already uses.
Relied on by regulated enterprises
Enterprise Deployment
One verification layer. Every AI system. Every output.
Enterprise pricing is shaped around your workforce, AI estate, evidence requirements, and deployment model—not a fixed seat count.
Claim-level evidence
Verify generated claims against trusted sources and preserve sentence-level references.
Governed review
Route exceptions to accountable reviewers and record approvals, edits, and decisions.
Leadership visibility
See verification coverage, unresolved exposure, and evidence status across teams.
Enterprise security
Private Azure, SSO, encryption, least-privilege access, and no training on customer data.
The Cost of Doing Nothing
AI adoption is accelerating faster than your ability to evidence what it produces.
Without output verification, factual claims can move from an employee’s AI session into decisions, reports, customer communications, and regulated workflows without a reliable record of what was checked, which source supported it, or who approved it.
When a board, auditor, regulator, or court asks for that evidence, policy alone is not an answer.Customer Evidence
Proven where accuracy and traceability matter.
Regeneron80%+
“More than 80% of generated medical claims delivered with traceable evidence.”
Global IT Lead
Ipsen75% less checking
“75% less repetitive manual checking, with the evidence available at the point of review.”
Chief AI Officer
See Your AI Evidence Chain
Trace one real workflow from generated claim to defensible evidence.
We’ll show how VarsaAI fits the models, controls, and frameworks you already use.