Practical AI, built into the tools you already use.
Chat assistants, document search, forecasting and image recognition that solve a real business problem.
The useful AI projects are rarely the flashy ones. They answer customer questions faster, read documents for your staff or spot problems in data before people do.
We start by finding one task where AI saves measurable time, then build it into your website, app or internal tools. We use leading language models through their APIs or open models hosted privately, with guardrails, evaluation and cost limits designed in from the first week.
- Typical pilot
- 4 to 8 weeks
- Team
- Project lead, ML engineer, backend engineer, QA
- Approach
- Hosted APIs or private open models
- Focus
- Accuracy, privacy, running cost
What we build.
Chat assistants
Support and sales assistants that answer from your own documents and hand over to people when needed.
Document search and extraction
Find answers across policies, contracts and manuals, and pull data out of PDFs and forms.
Forecasting
Demand, churn and sales predictions from the data you already collect.
Computer vision
Image classification, defect detection and document scanning for mobile and web.
Workflow automation
AI steps inside existing processes, such as drafting replies or sorting tickets.
Evaluation and guardrails
Test sets, monitoring and limits so answers stay accurate and costs stay predictable.
From question to working pilot.
Weekly builds, written sign-off at every stage and one project lead throughout.
Pick the right problem
We look for a task that is frequent, costly and measurable, and agree what success means.
Check the data
Review the documents or data available, and how they will be kept private.
Build a pilot
A working version used by a small group, measured against the agreed target.
Roll out and monitor
Wider release with dashboards for accuracy, usage and running costs.
Tools we use
- Python
- OpenAI API
- Anthropic API
- Llama
- LangChain
- PostgreSQL + pgvector
- PyTorch
- FastAPI
“The assistant answers most routine questions from our policy documents, and our team handles the rest. It paid for itself quickly.”
AI development questions.
Anything else, ask us directly. We answer on the phone, on WhatsApp or by email.
Is our data used to train public models?
No. We use API settings and hosting options that keep your data out of model training, and we can host open models privately when needed.
How accurate will the AI be?
We agree a target and measure it on a test set built from your real cases before rollout. If the target is not met, we tell you rather than launch.
What will it cost to run?
We estimate running costs during the pilot based on real usage, and set limits so bills stay predictable.
Can you add AI to our existing app?
Yes. Most of our AI work is added to products that already exist, through an API your app or website can call.
Often combined with.
Tell us what you are building.
Share a few lines about the idea, your timeline and a rough budget. A project lead reads every enquiry and replies within one working day.
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