AI that does real work inside your business
We build AI features that solve specific, measurable problems: answering questions from your own documents, extracting data from paperwork, routing requests and forecasting demand. We start with the problem, not the model.
Large language models from Anthropic, OpenAI and Google are now capable enough to take on a lot of routine knowledge work, but only when they are given the right context, clear instructions and sensible limits. We integrate Claude, GPT and Gemini models into your systems, and build retrieval-augmented generation (RAG) so answers are grounded in your own policies, contracts and product documentation, with sources shown.
Beyond chat, we build AI agents that can carry out multi-step tasks using your tools, such as looking up an order, drafting a reply and raising a ticket, with a human approval step wherever the stakes justify it. We also build document and data extraction for invoices, forms and contracts, text classification and routing, and classical machine learning models for forecasting, scoring and anomaly detection where they outperform an LLM.
Responsible use is part of the design. We agree what data may be sent to which provider, use enterprise API terms that exclude your data from model training, redact personal data where needed and log what the system did and why. Every AI feature is tested against an evaluation set drawn from your real cases, so you can see how accurate it is before it goes live.
What we deliver
LLM integration
Claude, OpenAI or Gemini models built into your applications, with prompts, guardrails and cost controls.
RAG over your documents
Search and question-answering grounded in your own content, with citations back to the source.
AI agents
Assistants that complete multi-step tasks using your systems, with human review where it matters.
Document and data extraction
Structured data pulled from invoices, forms, contracts and emails into your systems.
Classification and predictive models
Routing, tagging, forecasting, scoring and anomaly detection trained on your data.
Evaluation and governance
Accuracy testing against real cases, audit logs, data-handling rules and ongoing monitoring.
From brief to launch
The same five stages on every project, with a working demo every two weeks.
Discover
We learn your business, users and goals, then agree a clear written scope.
Design
Wireframes and interactive prototypes you can click through before we write code.
Build
Two-week sprints with a working demo at the end of each one.
Launch
Testing, security checks, deployment and app-store submission handled for you.
Grow
Monitoring, support and new features as your users and business grow.
AI & Machine Learning questions
Will our data be used to train AI models?
We use provider API and enterprise terms under which your data is not used for training, and we agree in writing which data may be sent to which service. For sensitive cases we can redact data first or use models hosted in your own cloud account.
How do you stop the AI making things up?
We ground answers in your own documents through RAG, require sources, constrain outputs to defined formats and test against an evaluation set. Where an error would be costly, a person approves the output before it is used.
Which model should we use?
It depends on the task, cost and data requirements. We often test two or three models against your real examples and recommend the one with the best balance of accuracy, speed and cost.
Can we start small?
Yes, and we recommend it. A focused proof of concept on one workflow, typically a few weeks, shows whether the approach works before you commit to a wider rollout.
What kinds of business tasks is AI good at today?
It works well for reading and extracting data from documents, answering questions from your own content, drafting and summarising text, classifying requests and spotting patterns in data. It is less suitable where every output must be perfect without any review.
How do you measure whether an AI feature is working?
We build an evaluation set from your real examples, agree what counts as a correct answer and measure accuracy before and after each change. Those tests keep running after launch so any drop in quality is noticed.
How do you control the running costs of AI features?
We choose the smallest model that meets the accuracy target, cache repeated results, limit input size and set usage caps and alerts. We estimate running costs from your expected volumes before you commit.
Do we need a lot of data to use AI?
Not always. Large language models can work from a handful of good examples and your existing documents. Traditional predictive models usually need a reasonable history of labelled data, which we check early on.
Can AI features work inside our existing software?
Yes. We usually add AI as a service your current systems call through an API, so staff see results in the tools they already use rather than a separate application.
What rules apply to using AI in our business?
That depends on your sector and markets; data protection law such as UK GDPR and the GDPR applies to personal data, and the EU AI Act adds obligations for some uses. We build with these rules in mind and work with your advisers, who remain responsible for compliance decisions.
Everything else we do
Custom Software Development
Bespoke business systems built around how your organisation actually works, not how an off-the-shelf package assumes it does.
Web Application Development
Secure, fast web applications and customer portals that work in any browser and scale as your user base grows.
Mobile App Development
iOS and Android apps, native or cross-platform, published under your own App Store and Google Play accounts.
SaaS Product Development
Multi-tenant SaaS products with subscriptions, onboarding and admin tooling, from first MVP to a platform that scales.
eCommerce Development
Online stores and B2B ordering platforms on Shopify, WooCommerce, Magento or fully custom builds, connected to your operations.
Cloud & DevOps
Cloud architecture, migrations, CI/CD pipelines and infrastructure as code, all set up in cloud accounts you own.
UI/UX Design
Research-led product design, from user journeys and wireframes to polished interfaces and design systems developers can build from.
API & Systems Integration
APIs and integrations that connect your CRM, ERP, payments and internal systems so data moves without manual re-keying.
Have a project in mind? Let’s talk.
Tell us what you are building. We reply within one business day with next steps — and we are happy to sign an NDA first.