Independent assurance that your AI works as intended.
Why Test Your AI
AI systems fail in ways traditional software does not — quietly, inconsistently, and often only under real-world conditions. An untested model can produce biased decisions, leak sensitive data, or behave unpredictably at the worst possible moment.
Regulatory pressure is rising fast. The EU AI Act imposes conformity, transparency, and human-oversight obligations on high-risk systems, and liability increasingly sits with the organisation that deploys the AI — not the vendor that supplied it. Independent validation is how you demonstrate due diligence before something goes wrong.
What We Test
Does the system behave consistently across inputs, edge cases, and real workloads?
Can the system be pushed into harmful, unsafe, or out-of-policy behaviour?
Are outcomes fair across groups, or does the system encode bias?
How correct are outputs, and how confident should you be in them?
Does the system meet obligations under the EU AI Act and sector rules?
Prompt injection, data leakage, and abuse paths — probed and documented.
Testing Process
We define what the system must do and the risks that matter most to you.
We probe reliability, safety, bias, accuracy, compliance, and security.
We deliver findings with clear risk ratings and evidence.
We give practical remediation guidance and re-test once fixes land.
The Output
You receive a detailed validation report documenting every finding, each with a clear risk rating and supporting evidence, plus concrete remediation guidance. It is written to serve both your engineers and your compliance and leadership teams.
Live Validation
Every AI system runs a gauntlet of checks before it earns our certification.
Tell us what you need. We'll design, build, and validate it.