Our Story
Built from the Inside Out
Axiontest was founded because we kept seeing the same pattern across engineering organisations: genuinely complex AI systems — LLMs, RAG pipelines, multi-agent workflows — being validated with quality methodologies designed for a far simpler era of software.
The consequence was always the same. Hallucinations that eroded user trust. Prompt injections that nobody had tested for. Silent model drift that degraded quality for weeks before anyone noticed. Compliance gaps that only surfaced when a regulator asked. We built Axiontest to close that gap — bringing rigorous, proprietary tooling and structured methodology to teams where production AI reliability is a competitive necessity, not a formality.
Book a Free Scoping Call →15+
Years engineering experience
374
Proprietary attack vectors
5
Enterprise domains served
2025
Founded
Mission
Why We Exist, What We Build, How We Think
Why Axiontest Exists
We kept seeing the same pattern: production AI systems failing in ways nobody was systematically looking for. Hallucinations delivered as fact. Prompt injections exposing sensitive data. Silent model drift degrading quality for weeks before anyone noticed. Traditional QA wasn't built for this. We built Axiontest to close that gap.
What We Are Building
A specialist AI reliability engineering practice — with proprietary tooling built for the AI layer, not adapted from generic security scanners or open-source eval wrappers. Every engagement is overseen by practitioners who understand both the model layer and the infrastructure it runs on.
How We Think Differently
We test both layers. AI red teaming tools test the model. Web security tools test the application. Your AI system has both — and most teams test neither systematically. We run 374 attack vectors across both layers in every security engagement, and pair that with structured eval and monitoring so quality is measurable, not assumed.
Our Expertise
Where Our Domain Depth Lives
We operate in domains where software reliability is not optional — where a failure is not a bug report, it is a business or regulatory event.
Years of Enterprise Quality Architecture
Our expertise spans quality leadership across inspection and compliance platforms, zero-trust security infrastructure, industrial SCADA systems, and AI-native SaaS — each demanding a different quality architecture and a different risk model. That breadth is pattern recognition that single-domain practitioners cannot replicate.
Production-Proven AI Tooling
Our proprietary tools — the LLM Quality Evaluator, Prompt Injection Tester, and Web Security Scanner — were built for production AI systems, not academic benchmarks. They run deterministically, produce evidence-backed findings, and generate reports that are ready for client, auditor, or board delivery.
Deep Cross-Domain Intelligence
We operate across Healthcare AI, Fintech AI, Legal AI, and enterprise SaaS. Each domain has different compliance requirements, different risk profiles, and different failure modes. Our domain-specific attack packs and eval suites reflect that — not generic tooling applied indiscriminately.
Built Around Your Maturity Level
Whether you need a one-time pre-launch red team, a quarterly retest cycle, or a full eval pipeline built and handed to your team — we structure engagements to match where you are. The same rigour applies at every level.
How We Work
The Principles Behind Every Engagement
Rigor over checkbox compliance
A passed compliance checklist is not the same as a secure or reliable system. We run systematic adversarial testing because ticking boxes without evidence is the fastest way to build false confidence.
Deterministic verdicts, not AI-judges-AI
Our eval engine produces PASS / PARTIAL / FAIL verdicts using pattern-based scoring — not by asking another LLM to grade outputs. Self-referential evaluation is not rigorous. Ours is.
Full-stack, not half the picture
AI layer vulnerabilities and web layer vulnerabilities coexist in every AI application. Testing one without the other leaves the other side wide open. We test both, every time.
Evidence-backed, not assumed
A security assessment is only as good as the evidence it produces. Every finding we deliver includes the exact payload sent, the response received, and a severity verdict. Reports are audit-ready from day one — not narratives, not summaries.
Ready to talk?
Book a free 30-minute scoping call. We'll review your stack, identify your highest-risk failure modes, and show you exactly what to fix first.