We run two practices. One builds data platforms on Databricks and Microsoft Fabric — lakehouse architecture, pipelines, modelling, and the governance that keeps them trustworthy. The other tests AI systems independently, from LLM performance and.
They belong together. We came to data engineering from testing, so we build platforms the way we test them — with reconciliation, quality rules as code, and evidence that the numbers are right. Financial services, healthcare, legal, retail, and.
Four principles that underpin every PGN Limited engagement — from a two-week performance test to a six-week comprehensive assurance programme.
Internal teams validate that systems do what they were designed to do. We validate that systems do not do what they should not — under real-world conditions, adversarial inputs, and unexpected load patterns that internal testing rarely covers. We.
A 94% hallucination-free rate is excellent for a consumer chatbot and potentially inadequate for a clinical triage tool. Our test suites are calibrated around the actual risk tolerance of your sector and deployment — not generic benchmarks lifted.
Every engagement produces structured, written evidence — not slide decks. Test logs, findings reports, severity ratings, remediation guidance, and CI/CD-ready regression suites. The evidence we produce is designed to answer the questions that UK.
Tell us about your AI deployment and we'll identify your highest-risk areas within two working days — no cost, no obligation, NDA first.