AI engineering
We build AI systems that are grounded in reality - domain-specific, production-grade, and tied to measurable client outcomes. Not demos. Not generic wrappers. Systems that do what they claim to do in the conditions your business actually runs in.
Our AI work sits across three disciplines: retrieval systems, custom inference models, and AI-driven security tooling. All three draw on the same 22 years of domain depth that underpins everything we build.
Retrieval-augmented generation (RAG)
- Grounded in your proprietary data - not generic LLM wrappers that hallucinate on domain-specific queries.
- Vector store design, chunking strategy, embedding pipelines, and retrieval tuning for your document corpus.
- Evaluation frameworks that measure answer quality, grounding accuracy, and latency in production - not just in demo conditions.
Bespoke & fine-tuned inference models
- Domain-specific models fine-tuned on your proprietary data - for healthcare triage, financial document parsing, logistics anomaly detection, and more.
- Model selection, training infrastructure, evaluation benchmarking, and deployment on your cloud or on-premises stack.
- Inference optimisation: quantisation, batching, and serving architecture for latency-sensitive production workloads.
AI-driven security & monitoring
- Anomaly detection and threat-pattern classification using models trained on your system's normal behaviour - not generic signatures.
- Real-time monitoring pipelines that surface incidents before they become breaches, with automated alert routing and runbooks.
- Audit-trail analysis and compliance reporting for regulated industries: finance, healthcare, government.
A note on how we build: 22 years of engineering judgment, amplified by modern AI-assisted delivery. We use AI tooling internally where it makes our engineers faster and more precise - but that is separate from the AI systems we build for clients, which are the subject of this page.
Building an AI-powered system?
We begin with the problem, not the technology. Tell us what you are trying to achieve and we will tell you honestly whether AI is the right tool and how to build it properly.