
Verify agent behaviour in real-world scenarios and expose issues early.

Autonomous systems behave unpredictably in complex environments. Organisations need ways to simulate behaviour, test edge cases, and ensure systems meet operational and safety requirements before deployment. Without verification, you are deploying blind.

Verification means understanding the mechanics behind agent decisions. Verifyax gives you the tools to simulate, observe, and measure exactly what your agents are doing — and why.
VerifyAX is an AI agent verification platform. Organisations connect their agents, define what they want to test, and VerifyAX runs simulated environments to evaluate behaviour against defined criteria. Every run produces an audit-grade report with scores, transcripts, and recommendations.

Track agent performance, pass rates, spending, and governance across your entire AI portfolio from a single dashboard.
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Agents, models, and tools integrate with Verifyax via API or A2A.
Test behaviour across multiple scenarios, environments, and edge cases.
Analyse performance, safety, and policy compliance across every run. Verifyax provides recommendations to improve your agents.
Deploy with full visibility, audit trails, and confidence your agents are ready.
Agent behaviour drifts as models update and conditions shift. Verifyax flags when re-testing is recommended so your agents stay verified.
Integrate Verifyax into your CI/CD pipeline. Catch agent failures before they reach production.
Full documentation of agent behaviour, policy enforcement, and compliance reporting built in.
Visibility across your entire AI agent portfolio. Know what is running, how it is performing, and where the risks are.
We partner with the platforms and infrastructure providers your teams already rely on. Whether you build on AWS, deploy on Google Cloud, or distribute through a marketplace, VerifyAX integrates directly into your stack.


Up to 50 agents
1,000 test runs/month
Email support & community support
Monthly subscription
Top up credits as needed
