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Services
We design, build and operate AI systems that hold up in production - from LLM-powered products and autonomous agents to classical machine learning, with evaluation and monitoring built in.
See it in action
A simplified view of the kind of AI & Intelligence system we build - data moves between each stage as it would in production.
What we deliver
Take one service or combine several - we design, build, integrate and scale each of them.
AI & Intelligence, end to end
From the first workshop to production support - one accountable team.
Text, image and document generation built into your product, with guardrails and human review where it matters.
Agents that plan, call your tools and APIs, and finish multi-step tasks - with approvals and a full audit trail.
AI agent developmentForecasting, scoring and classification models trained on your data and monitored in production.
Neural networks for vision, speech and complex signals, from training pipelines to optimised inference.
Model selection, prompt design, fine-tuning and evaluation across hosted and open-weight LLMs.
LLM application developmentAnswers grounded in your own documents, with citations, access control and always-fresh indexes.
RAG developmentExtraction, classification, summarisation and search across contracts, tickets and conversations.
Detection, OCR, segmentation and visual inspection, deployed in the cloud or at the edge.
Workflows that hand repetitive operations to AI, with people in the loop for the decisions that count.
Demand, churn and risk predictions delivered into the dashboards and systems your teams already use.
Personalised ranking for products, content and next-best actions, proven with A/B tests.
AI features added to your existing products and platforms through clean APIs - no rewrite required.
How we deliver
How a AI & Intelligence engagement runs - and what you walk away with at every step.
We pick the use cases worth automating, check the data behind them and agree how success will be measured.
You get: Prioritised use cases and success metrics
A working prototype, scored from week one against an evaluation set built from your real examples.
You get: Prototype and evaluation baseline
Guardrails, retrieval, access control, monitoring and cost limits, integrated with your systems.
You get: Production AI feature or agent
Live evaluation and feedback loops keep answers accurate as your data and the models change.
You get: Quality dashboard and update plan
FAQ
We're model-agnostic. We choose between hosted foundation models and open-weight models based on quality, latency, cost and data-privacy needs - and design systems so models can be swapped later.
Yes. We design data flows around least-privilege access and can deploy inside your own cloud account, so sensitive data stays in your environment.
Every AI system we build ships with an evaluation suite - test sets, automated scoring and human review - so improvements and regressions are measurable.
Let’s talk
Tell us what you're building. We'll come back with a clear plan, the right team and an honest timeline.