Artificial Intelligence that fits your business
We design, build and maintain AI systems for companies that need practical results, not science projects. From predictive models to document automation, every solution ships with measurable outcomes.
Get in touch Learn about usWhat we actually do
Most AI consultancies hand you a slide deck and disappear. We write production code, deploy it on your infrastructure, and stay around to monitor performance. Here is where we spend most of our time.
Predictive analytics
We train regression and classification models on your historical data so you can forecast demand, flag churn risk or price inventory more accurately. A typical engagement runs eight weeks from data audit to a live dashboard your team can query without writing code.
Document intelligence
Invoices, contracts, insurance claims: we build extraction pipelines that read unstructured PDFs and turn them into clean, validated JSON. One logistics client cut manual data entry by 74 % within three months of going live.
Conversational AI
We design custom chatbots and voice agents grounded in your own knowledge base. They answer questions, qualify leads and escalate edge cases to a human. Response accuracy on our last five deployments averaged 91 % measured against a gold-label test set.
Model monitoring and retraining
AI models decay. Data shifts. We set up drift detection, automated retraining triggers and performance alerts so your accuracy stays where it was on launch day. Monitoring plans start at a flat monthly rate with no per-query fees.
Numbers that matter
We track outcomes, not billable hours. Below are aggregate figures from projects delivered between 2021 and 2024.
How an engagement works
We keep the process short enough that you see value before the first invoice is overdue.
1. Discovery call
Thirty minutes on a video call. You describe the problem, we ask about data sources, volumes and current tools. No preparation needed on your side.
2. Data audit
We review a sample of your data under NDA. Within five working days you get a written feasibility report: what is possible, what is not, and a fixed-price quote.
3. Build and validate
Our engineers build the model or pipeline. You see a working prototype by week four. We iterate based on your feedback until accuracy targets are met.
4. Deploy and monitor
We push to production on your cloud or ours, run a parallel test, then switch over. Monitoring dashboards go live the same day.
Talk to us
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Contact details
Address:
United Kingdom, England, Sauer-under-Schmidt, BA00 0BX, 5 Ronald Close
Phone:
+44 7389 684113
Email:
[email protected]
