Artificial Intelligence that fits your actual business

We build models, pipelines and strategies around your data, not around hype. If you have a specific operational problem, we probably have a tested approach for it. If you are still figuring out where AI could help, that is a perfectly good starting point too.

Book a free discovery call See what we do
AI Complete Focus team working on Artificial Intelligence models in a modern office
147
Models deployed
38
Active clients
6 yrs
Average team experience
99.4%
Uptime on hosted models

The gap between AI potential and AI reality

Most organisations know they should be using AI. Fewer know where to start, and fewer still get past the proof-of-concept stage.

What we keep hearing

  • Our data sits in five different systems and none of them talk to each other.
  • We hired a data scientist but they left after eight months and nobody can maintain the code.
  • The vendor demo looked amazing; our own results were nothing like it.
  • We spent six figures on a platform licence we barely use.

What changes with us

  • We audit your data estate in the first week and give you a frank assessment of what is usable today.
  • Every model we build comes with documentation, monitoring and a handover session for your team.
  • We benchmark on your data before quoting accuracy targets.
  • You pay for engineering hours, not platform seats you may not need.

What we deliver

Four practice areas, each staffed by specialists who have shipped production systems.

Computer vision

Quality inspection on production lines, document digitisation, satellite imagery analysis. We train custom detection and segmentation models using your labelled data, then deploy them on-premise or in the cloud depending on latency requirements.

Predictive analytics

Demand forecasting, churn prediction, maintenance scheduling. We connect to your existing databases, engineer features that matter, and deliver predictions through an API your developers can call from any internal tool. Typical project timeline: four to eight weeks.

Natural language processing

Chatbots that actually resolve tickets, sentiment analysis on customer reviews, contract clause extraction. We fine-tune large language models on your domain vocabulary so they understand jargon a general model would miss.

AI strategy and data readiness

Before writing a single line of code, we map your data landscape, interview stakeholders, and identify the two or three use cases with the highest return. You get a prioritised roadmap, a realistic budget estimate, and a skills gap analysis for your internal team.

How an engagement works

Five stages, each with a clear deliverable you can evaluate before moving on.

1

Discovery call

A 30-minute conversation where we learn about your business, your data and the outcome you want. No preparation needed on your side. We ask the questions.

2

Data audit

We connect securely to your systems, profile the data and produce a short report: what is clean, what needs work, what is missing. This usually takes five business days.

3

Prototype

A working model on a representative sample of your data, with measured accuracy and a live demo. You decide whether to proceed to production based on real numbers, not slides.

4

Production deployment

We containerise the model, set up monitoring dashboards, write integration tests and deploy to your infrastructure or ours. Load testing included.

5

Handover and support

Documentation, a recorded walkthrough for your engineering team, and 90 days of included support. After that, ongoing maintenance is available on a monthly retainer.

Lead AI consultant at AI Complete Focus

Built by practitioners, not salespeople

We started this company because we kept seeing the same pattern: organisations buying expensive AI tools and then struggling to connect them to real workflows. Our entire team has shipped models into production before joining. That is the minimum bar.
Dr. Rhian Cadwallader, founding partner

The team includes former engineers from the NHS AI Lab, the Office for National Statistics and two FTSE 250 retailers. Between us we have published 23 peer-reviewed papers and hold four patents related to time-series forecasting and anomaly detection.

Common questions

It depends on the task. A classification model might work well with a few thousand labelled examples. A demand forecasting model needs at least two years of weekly data to capture seasonality. During the discovery call we will give you a straight answer based on what you actually have.
Yes. About a third of our clients are in mainland Europe. We invoice in GBP or EUR and can work within GDPR data residency requirements for any EU member state.
A focused prototype usually runs between £8,000 and £18,000. Full production deployments range from £25,000 to £90,000 depending on complexity and integration scope. We quote fixed-price after the data audit so there are no surprises.
All custom code and trained model weights belong to you. We retain only the right to reuse general methodologies and open-source components, which is standard in the industry. The contract spells this out clearly before work begins.
We sign an NDA before seeing any data. All work happens inside your VPN or on an isolated cloud tenancy that only our assigned engineers can access. We hold Cyber Essentials Plus certification and carry professional indemnity insurance up to £2 million.

Let's talk about your project

Send us a brief description of what you are trying to achieve. We respond within one working day, usually faster.

76 Torp Gate, Heidenreich-upon-Cormier, Wales, HN89 7RD, United Kingdom
+44 7944 504432
[email protected]