We design, train, and deploy AI models for UK businesses. From demand forecasting to automated document processing, our solutions run on your real data and deliver measurable results within weeks.
We started AI Optimize Pro because we were tired of seeing promising AI projects stall after the proof-of-concept stage. Our founding team spent years inside large enterprises, watching models gather dust in Jupyter notebooks. So we built a firm that takes a project from raw data to live inference endpoint, handles monitoring, and retrains when the data drifts.
Based in Scotland, we work with mid-market companies across logistics, finance, healthcare, and retail. Most engagements begin with a two-week data audit. We look at what you collect, what you are missing, and where a model can save time or money. If AI is not the right answer, we say so.
Every engagement starts with your data and your goals. We pick the right technique, not the trendiest one.
We build supervised and unsupervised models for classification, regression, and clustering. Think churn prediction for subscription businesses, credit scoring for lenders, or anomaly detection on sensor data. Models are containerised and deployed behind REST APIs so your existing stack can call them directly.
Our NLP team fine-tunes large language models for intent recognition, sentiment analysis, document summarisation, and entity extraction. A recent project for a legal firm cut manual contract review time by 74%. We handle the training pipeline, prompt engineering, and guardrails so the output stays reliable.
Object detection, image segmentation, and optical character recognition for manufacturing quality control, retail shelf analytics, and medical imaging triage. We train on your labelled images, benchmark against your accuracy threshold, and deploy to edge devices or cloud GPU instances depending on latency needs.
Time-series forecasting for demand planning, revenue projection, and resource allocation. We combine statistical methods like ARIMA with gradient-boosted trees and neural forecasters, then ensemble them. Clients in logistics have reduced overstock costs by 18% within the first quarter of deployment.
Bias audits, explainability reports, and data-privacy impact assessments aligned with the UK AI regulatory framework. We document model lineage, generate SHAP-based explanations for each prediction, and set up drift-detection alerts. Useful when regulators or internal audit ask how a decision was made.
Before any model is trained, the data has to be right. We audit your warehouses, pipelines, and collection practices. Then we design a roadmap: what to capture, how to label it, and where to store it so future AI projects start from a solid foundation instead of months of cleaning.
We are not the cheapest option. We are the one that gets your model into production and keeps it there.
Every model we build is designed for deployment from day one. We write inference code, set up CI/CD pipelines, and configure monitoring before the training run finishes. No handoff gap between data science and engineering.
We quote fixed fees for defined scopes. If the scope changes, we re-quote before doing the work. You will never get an invoice that surprises you.
All training data and model weights belong to you. We work inside your cloud environment when possible, and we delete local copies within 14 days of project close. Our contracts spell this out clearly.
Models degrade as the world changes. We offer monthly retrain-and-monitor plans that track accuracy, latency, and data drift. When performance drops below your threshold, we retrain automatically and notify you with a summary report.
Real results from real projects. Here are a few recent ones.
They built a demand forecasting model for our warehouse network in under six weeks. Our overstock dropped 21% in the first quarter, which more than covered the project cost. The monitoring dashboard they set up catches drift before it becomes a problem.
We needed an NLP pipeline to classify incoming support tickets by urgency and route them to the right team. AI Optimize Pro delivered a model with 94% accuracy on our historical data. Our average response time fell from 4.2 hours to 1.1 hours.
Honest and straightforward. During our initial audit they told us that one of the three use cases we proposed would not generate enough ROI to justify the build. That kind of candour saved us about £40k. The two models they did build are running smoothly eight months later.
Tell us what problem you want to solve. We respond within one business day.
Reach out by phone, email, or fill in the form. We are happy to sign an NDA before any technical discussion if you prefer.
8 Denesik Mews, Weber-le-Bruen, BO04 3QD, Scotland, United Kingdom