We test AI systems against the tasks, risks and rules that apply to them, produce the evidence reviewers ask for, and prepare you for external certification with compliance authorities.
When this helps
- An AI system is about to go live and has not been tested independently.
- Buyers, regulators or your board are asking for evidence that the AI is safe and fair.
- You need to show conformity with a regulation or standard before certification.
- A system in production behaves differently from how it behaved in testing.
How would this work for you?
Answer three quick questions and get a short brief on how we'd approach your ai testing & certification need.
What's included
- AI system testing: accuracy, robustness, bias and safety
- LLM and RAG evaluation
- Conformity assessment against your policies and applicable regulation
- Evidence packs for audit and review
- Coordination of external certification with compliance authorities
- Monitoring after go-live
How we do it
- ScopeIdentify the system's purpose, users and risks, and the regulations and standards that apply.Test scope and risk profile
- PlanTurn the risks into test cases and acceptance thresholds agreed with you before testing starts.Test plan and criteria
- TestRun accuracy, robustness, bias, safety and security tests, including adversarial prompts for language models.Test results
- AssessCompare results with the criteria and the applicable requirements, and list each gap with a fix.Findings and remediation plan
- EvidenceAssemble the evidence pack and, where needed, coordinate external certification with the relevant bodies.Evidence pack and certification support
How we keep quality high
- Criteria are agreed before testing, so results cannot be argued away afterwards.
- Tests are repeatable and versioned, so a fix is re-checked against the same cases.
- Findings are ranked by risk, each with a clear fix.
- Evidence is mapped to the specific requirements a reviewer will check.
Why Qylis AI
Testers who also build
We build and train AI systems too, so we know where they break and how to fix them.
Evidence, not opinions
Every finding is backed by a repeatable test and mapped to a requirement.
A route to certification
We work with external certification and compliance bodies, so the evidence is shaped for their review.
Fixes, not only findings
Where you want help, the same team can fix the data, the model or the application.
Team profiles, tools, certifications and references are shared directly by our team, matched to your requirement.
Ways to work with us
Readiness review
A gap assessment against the requirements that apply to your system.
Test and assure
Full testing, findings and an evidence pack.
Ongoing assurance
Re-testing on each release and monitoring after go-live.
Every engagement follows the same rhythm: understand, assess, scope, deliver, with evidence against agreed criteria at each step.
Questions
Which regulations and standards do you test against?
The ones that apply to your system and market. Common references include the EU AI Act, ISO/IEC 42001 and the NIST AI Risk Management Framework, alongside sector rules and your own policies.
Do you issue certificates?
No. We test and prepare the evidence. Certification is issued by the external certification or compliance body, and we coordinate with them for you.
Can you test a system you also built?
Yes, with a separate test team and criteria agreed with you in advance. For formal certification, the final assessment is always made by the external body.
What does Qylis AI's AI Testing & Certification offering cover?
We test AI systems against the tasks, risks and rules that apply to them, produce the evidence reviewers ask for, and prepare you for external certification with compliance authorities. It includes ai system testing: accuracy, robustness, bias and safety; llm and rag evaluation; conformity assessment against your policies and applicable regulation; evidence packs for audit and review; coordination of external certification with compliance authorities; monitoring after go-live.
How does an AI Testing & Certification engagement start?
Understand: We start with the business requirement and the outcome you need to measure. Assess: We review the data, systems and constraints, and confirm where AI makes sense. Scope: We agree scope, acceptance criteria and a first deliverable you can judge. Deliver: We deliver in increments, with evidence against the agreed criteria at each step.
How do I discuss an AI Testing & Certification requirement with Qylis AI?
Send the requirement through the contact form on this page. A solution lead replies within one business day.
Talk to Qylis AI
Tell us the requirement. A solution lead replies within one business day.
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