Artificial Intelligence that fits your actual business
We build machine learning models, automate repetitive tasks, and turn messy data into clear decisions. No jargon walls. No six-month discovery phases. Just working AI, delivered on time.
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The gap between AI hype and AI results
Most businesses know they should use AI. Few know where to start, and many have already burned budget on tools that sit unused.
What we keep hearing
- Data lives in five different spreadsheets and two legacy systems that barely talk to each other.
- A previous vendor built a model nobody on the team understands or trusts.
- Leadership wants "AI" but cannot define a single measurable outcome.
- Internal IT is stretched thin and cannot take on another integration project.
How we change that
- We audit your data sources in the first week and map them into a single usable pipeline.
- Every model ships with plain-English documentation and a training session for your staff.
- We define success metrics before writing a line of code, so the board sees value, not buzzwords.
- Our engineers handle deployment and monitoring, freeing your IT team entirely.
What we deliver
Four service areas. Each one can run independently or combine into a larger programme.
Predictive analytics
We train models on your historical sales, operations, or customer data to forecast demand, flag churn risk, and optimise stock levels. Typical turnaround: four to six weeks from data handover to production model.
Process automation
Invoice matching, document classification, email routing: we identify the tasks eating your team's hours and replace them with reliable automated workflows. One logistics client cut manual data entry by 74% within two months.
Natural language processing
From chatbot design to sentiment analysis on customer reviews, we build NLP pipelines that understand context, not just keywords. We work in English and Welsh language corpora.
Data strategy and audits
Not ready for AI yet? We assess your data maturity, clean up collection practices, and create a roadmap so that when you do invest in machine learning, the foundation is solid. This engagement usually takes two weeks.
From first call to live model
A four-stage process designed to keep scope tight and costs predictable.
Scoping session
We spend 60 to 90 minutes understanding your business, your data, and the specific outcome you want. No charge for this conversation.
Data audit
Our engineers connect to your systems, assess quality and volume, and produce a feasibility report within five working days.
Build and iterate
We develop the model or automation in two-week sprints. You see working demos at the end of each sprint and can redirect priorities.
Deploy and support
We push to production, monitor performance for 30 days, and train your team. Optional ongoing support plans start at £800 per month.
Outcomes worth measuring
Three recent projects, summarised in the numbers that mattered to each client.
Retail chain, South Wales
A 23-store retailer used our demand-forecasting model to reduce overstock waste by 31% in the first quarter. The model retrains weekly on fresh point-of-sale data and runs on their existing cloud account.
Insurance broker, Cardiff
We automated policy-document extraction, cutting processing time from 12 minutes per document to under 40 seconds. The broker reassigned two full-time staff to client-facing roles.
Hospitality group, Swansea
Sentiment analysis across 18,000 online reviews revealed a recurring complaint about check-in speed. After addressing it, the group's average rating rose from 3.8 to 4.4 stars within six months.
Why work with us
We are a small, focused team. Seven engineers based in Wales, each with at least eight years in data science or software engineering. No account managers who disappear after the sale. The person who scopes your project is the same person who writes the code.
Our size means we take on six to eight projects at a time. That limit is deliberate: it keeps quality high and response times short. If we cannot start within three weeks, we will tell you upfront rather than let your project idle in a queue.
Common questions
Answers we find ourselves giving most often.
Most engagements fall between £8,000 and £45,000 depending on complexity. A straightforward automation might sit at the lower end; a multi-model predictive system with real-time data feeds will be closer to the upper range. We provide a fixed quote after the scoping session.
No. Many of our clients have no in-house data team at all. We handle everything from data wrangling to deployment. If you later want to bring capability in-house, we can help recruit and train your own analysts.
Your data stays on infrastructure you control. We access it through secure, audited connections and delete all local copies once the project is complete. We sign a data processing agreement before any transfer takes place, fully compliant with UK GDPR.
Almost always. We have built integrations with Salesforce, SAP, Xero, Shopify, various NHS systems, and dozens of custom APIs. If your platform has an API or can export structured data, we can connect to it.
The fastest project we completed went from scoping to production in 18 days. A more typical timeline is six to ten weeks. We set clear milestones so you can track progress without guessing.
Let's talk about your data
Fill in the form or contact us directly. We respond within one working day.
Address
96 Chris Bank, Kerlukestone, Wales, EY40 0JY, United Kingdom
Phone
+44 7821 468909
Email
[email protected]
