Collaborations that bring together AI quality and risk excellence with advanced testing to ensure safe, responsible, and secure AI.
Building trust in AI takes more than good intentions. It takes evidence.
At AIQURIS, we help organisations ensure their AI systems are fit for purpose: safe, secure, reliable, ethical, compliant, and performing.
AI assurance means defining and verifying that every requirement – from governance and data management to model behaviour and system performance – meets rigorous standards.
To provide complete, evidence-based assurance, AIQURIS partners with leading AI testing companies such as AIDX, Vulcan, and Tescom. Together, we connect governance, risk, and quality assurance with technical validation, delivering an end-to-end view of AI quality and trustworthiness.
Building trust in AI takes more than good intentions. It takes evidence.
At AIQURIS, we help organisations ensure their AI systems are fit for purpose: safe, secure, reliable, ethical, compliant, and performing.
AI assurance means defining and verifying that every requirement – from governance and data management to model behaviour and system performance – meets rigorous standards.
To provide complete, evidence-based assurance, AIQURIS partners with leading AI testing companies such as AIDX, Vulcan, and Tescom. Together, we connect governance, risk, and quality assurance with technical validation, delivering an end-to-end view of AI quality and trustworthiness.
AIQURIS profiles risk and translates relevant standards and policies into measurable controls, which our partners then rigorously validate. This is how we transform technical risk requirements into verifiable test evidence.
We turn risks into technical, process, and compliance (e.g., EU AI Act, ISO 42001) controls. You gain clarity on what must be tested and why.
Our partners rigorously validate fairness, resilience, performance, and security. Every test result maps back directly to your defined risk profile.
You receive structured, verifiable evidence designed specifically for audits, certifications (AI Verify), and internal decision-making.
By combining AIQURIS’ quality and risk management solution with independent technical validation, you gain a closed loop of assurance from policy to performance, securing market credibility and regulatory compliance.
Independent evidence for audits, certifications, and alignment with international standards.
Minimised risk of failure, bias, or security exposure through specialised red-teaming.
Accelerate time-to-market with verifiable proof that your systems are safe and well-controlled.
Build market credibility and confidence with objective, third-party validation.
The Global AI Assurance Pilot showed how assurance and testing work together on a real system. AIQURIS and AIDX teamed up to assess UltraScale, a no-code GenAI platform developed by ultra mAInds. AIQURIS defined the risks, turned them into measurable controls, and linked them to requirements from international standards.
AIDX carried out the technical GenAI testing, including behaviour, robustness, and multilingual safety assessments. With both sides aligned, the pilot demonstrated how an AI system can be reviewed end to end, from risk to practical model behaviour.
The results were published by the AI Verify Foundation as part of the official case study. It offered a clear example of how structured assurance supports real deployments and gives organisations evidence they can rely on.
“Thank you AIQURIS team. It was a pleasure collaborating on this pilot. The work helped surface important insights on GenAI safety in multilingual contexts, which is a key step toward trustworthy adoption across markets.”
The Global AI Assurance Pilot showed how assurance and testing work together on a real system. AIQURIS and AIDX teamed up to assess UltraScale, a no-code GenAI platform developed by ultra mAInds. AIQURIS defined the risks, turned them into measurable controls, and linked them to requirements from international standards.
AIDX carried out the technical GenAI testing, including behaviour, robustness, and multilingual safety assessments. With both sides aligned, the pilot demonstrated how an AI system can be reviewed end to end, from risk to practical model behaviour.
The results were published by the AI Verify Foundation as part of the official case study. It offered a clear example of how structured assurance supports real deployments and gives organisations evidence they can rely on.
“Thank you AIQURIS team. It was a pleasure collaborating on this pilot. The work helped surface important insights on GenAI safety in multilingual contexts, which is a key step toward trustworthy adoption across markets.”
Whether you're interested in our technology, looking to collaborate, or just want to learn more about AIQURIS, we are happy to advise. Let us know what you need and we will connect you with the right expert.
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