We stress-test large language models under load, degraded dependencies, tool outages, and adversarial inputs — then give you clear evidence on what to fix before production.
Language models fail in ways that standard testing cannot detect — until they cause a production incident.
Unlike deterministic software, LLMs produce different outputs for identical inputs. Our methodology accounts for this variance, measuring quality distributions — not just pass/fail — to give you statistical confidence at scale.
A hallucination in a customer chatbot is embarrassing. In a financial reporting tool or a clinical decision system, it is a critical failure. Our test suites are built around the actual risk tolerance of your sector — not generic benchmarks.
Most production LLM failures happen at pipeline level — RAG retrieval gaps, agent handoff failures, context window overflow, API fallback chains. We test the whole system, not just the model in isolation.
We work exclusively on LLM testing and assurance. Every methodology and test suite is built around the unique challenges of large language model deployments in UK-regulated environments.
Our test suites are purpose-built for AI deployments in UK industry — aligned to the expectations of UK regulatory institutions without relying on US-centric frameworks.
We sign an NDA before any technical discussion of your systems. All engagements are handled under UK GDPR with data residency options within Azure UK South or AWS eu-west-2.
Every engagement ends with full documentation, training, and a CI/CD-ready test suite your team can run independently — not a black box that requires us indefinitely.
We test GPT-4o (Azure OpenAI), Claude (AWS Bedrock), Gemini (Vertex AI), and open-weight models on private UK infrastructure — wherever your model lives.
Six specialist service lines covering the complete LLM quality and risk lifecycle.
Latency, throughput, quality degradation at scale, and token efficiency — benchmarked under realistic UK production load patterns.
Learn moreAdversarial probing, prompt injection, red teaming, and edge-case flooding — structured against OWASP LLM Top 10 and UK security guidance.
Learn moreFallback chain validation, chaos engineering, context recovery, and disaster recovery testing for LLM pipelines with SLA obligations.
Learn moreEnd-to-end validation of retrieval-augmented generation pipelines — retrieval precision, context fidelity, and answer accuracy at scale.
Learn moreLLM-as-judge frameworks and CI/CD-integrated regression suites — built for your domain with full knowledge transfer to your team.
Learn moreBias audits, fairness assessments, risk classification, and audit-ready evidence packs — aligned to UK regulatory institutions and industry standards.
Learn moreDeep sector knowledge means our test suites reflect the actual risk tolerances and regulatory requirements of your industry.
Financial institutions and fintech companies deploying LLMs in regulated workflows — from wealth management and capital markets to payments and retail banking.
Healthcare organisations and health tech suppliers building clinical decision support, patient-facing assistants, and administrative AI tools within regulated environments.
Legal and professional services organisations using LLMs for contract review, legal research, and client advisory — where consistency and accuracy carry significant weight.
Government bodies and public sector organisations deploying citizen-facing AI and internal knowledge tools, where transparency and accountability obligations are high.
Anonymised case studies from real UK engagements. NDA signed before all technical discussions.
Internal QA had signed off the system. Our four-week adversarial evaluation — combining RAGAS, DeepEval, and UK regulatory-aligned stress tests — identified hallucination triggers in accounting and regulatory capital ratio reporting. All issues were resolved before go-live. Our regression suite now runs in their CI/CD pipeline before each quarterly disclosure cycle.
Performance testing revealed quality degradation and latency breaches during peak clinical hours. Redesigned, retested, and validated against the expectations of UK regulatory institutions before clinical sign-off.
Red teaming across clause phrasing variants and legal jurisdictions exposed significant inconsistency. Consistency regression suite now embedded in their release pipeline, aligned to UK regulatory institutions.
Fixed scope, clear deliverables, no surprises. We work alongside your engineering and compliance teams — not around them.
We review your LLM deployment and identify your three highest-risk areas within two working days — at no cost, under NDA.
We agree a fixed-scope engagement covering methodology, tooling, deliverables, timeline, and cost. No hidden extras.
We run the agreed test suites in your environment. Daily progress updates throughout. Findings documented as we go.
Full findings report, remediation recommendations, compliance evidence pack, and CI/CD-ready test suite with knowledge transfer.
Tell us about your LLM deployment and we'll identify your three highest-risk areas within two working days — no cost, no obligation, NDA first.