We build LLM systems, agentic frameworks, and quantitative data infrastructure for organisations where the AI has to survive contact with real production data — not just a demo.
Designing and shipping large language model systems that hold up under real production load — not demos.
Multi-step, tool-using agent architectures — orchestration, memory, and the guardrails that keep them reliable.
Vector and graph-based retrieval systems tuned for accuracy, grounded in your data, not generic chunking defaults.
End-to-end build — FastAPI/Python backends, modern frontends, and the infrastructure that ties it together.
Tick-store architecture, time-series analytics, and the q expertise that's increasingly hard to find.
AI Analytics Ltd is a UK engineering practice building production AI and data systems for financial institutions.
Our focus is narrow by design: systems that look impressive in a demo and systems that survive contact with real institutional data are rarely the same thing. We build the second kind — production-grade, auditable, and engineered to hold up under real load, not just a proof of concept.
Engagements run as contract delivery or fractional advisory, scoped tightly and delivered by engineers who've sat inside the institutions we now build for.
Fixed-scope contract engagements — a defined system, shipped, with clear handover.
Ongoing technical input for teams building AI systems who need senior judgement without a full-time hire.
Working inside an existing engineering organisation, under its own governance and clearance requirements.
Tell us what you're building. We'll respond directly.