Generative AI applications
Retrieval over your own documents, drafting, summarisation and classification — grounded in your sources, with citations back to them so any answer can be checked.
All services
Artificial Intelligence
AI systems built to run in production
Generative AI, agents and machine learning delivered as maintainable software — measured against your own data and deployed into your environment.
Overview
Artificial Intelligence
Most AI work stalls at the same point: a demonstration that convinces everyone in the room, with no route from there to something the business can depend on. We build the second thing. That means an evaluation set drawn from your own data, an agreed threshold for what counts as working, and the unglamorous parts — retries, rate limits, cost ceilings, fallbacks — settled before launch rather than after.
We are equally willing to say when a model is the wrong answer. A rule, a query or a better-designed form often beats a language model on accuracy, cost and explainability, and we would rather tell you that during the blueprint than six weeks into a build.
What we build it with
Claude
OpenAI
PyTorch
LangChain
Hugging Face
scikit-learn
pgvector
Python
Capabilities
What this covers
AI agents and tool use
Agents that call your systems to complete work, with scoped permissions, a full audit trail, and a human checkpoint wherever the action cannot be undone.
Machine learning
Forecasting, scoring, classification and propensity models trained on your data, with the evaluation harness that demonstrates the model beats the rule it replaces.
Vision and language
Document extraction, OCR pipelines, image classification and speech-to-text, built as services your existing applications can call.
Typical engagements
When organisations call us about this
A knowledge base people can ask questions of
Policies, contracts, tickets and manuals indexed and made answerable, with every answer citing the document it came from.
Review work that scales badly
Classification, extraction and triage that currently consume analyst hours, moved behind a confidence threshold with a queue for the cases the model declines.
A model that never left the notebook
Work that has proved itself experimentally and now needs an API, monitoring, a retraining path, and someone accountable for it at three in the morning.
Our Process
A staged engagement you can pause at any point
Each stage concludes with a defined deliverable that you retain, so there is no obligation to commission the next one.
1
Discovery
A complimentary 45-minute conversation to understand the requirement and establish whether we are the right fit.
2
Blueprint
One to two weeks, fixed fee. Architecture, scope and a costed delivery plan, which remains yours whether or not we proceed.
3
Pilot
A defined initial increment, deployed to your environment so the engagement can be assessed on delivered software.
4
Delivery
Two-week sprints with live demonstrations and continuous deployment to your environment.
5
Support or handover
We continue to operate the platform, or we train your team and complete a documented handover.
More from us
Other services
Software Engineering
Custom development · Enterprise applications
Cloud Solutions
Azure · AWS
Enterprise Automation
Robotic process automation · Workflow automation
Data & Analytics
Data engineering · Data warehouses
Digital Transformation
Legacy modernisation · Cloud migration
All services
The full picture, on one page
Talk to us about artificial intelligence
Describe what you are trying to build or improve. We will respond with an honest assessment of fit within one working day.