We build, train, and deploy machine-learning models that solve real operational problems. From demand forecasting to automated document processing, our team delivers measurable results within weeks.
Practical AI, not hype.
Most businesses don't need a general-purpose AI lab. They need a specific model that reads invoices faster, spots defective parts on a production line, or predicts next month's stock requirements. That is exactly what we do.
Ai Navigator Pro was founded in 2019 by a small group of data engineers and applied mathematicians who had spent the previous decade building internal ML tools for logistics and retail companies. We got tired of watching consultancies sell six-month discovery phases that produced nothing but slide decks. So we set a rule for ourselves: every engagement must deliver a working prototype within four weeks.
Since then we have completed over 90 projects for clients ranging from a 12-person e-commerce shop to a 4,000-employee NHS trust. Our retention rate sits at 87%, which tells us the prototypes actually make it into production.
A quick look at our core capabilities.
We train regression and classification models on your historical data so you can forecast demand, churn, or equipment failure with confidence intervals you can actually trust. Typical accuracy improvements over manual forecasting: 22% to 35%.
Quality inspection, object counting, document scanning. We fine-tune convolutional networks on your own images and deploy them on-premise or in the cloud, depending on latency requirements. Inference times below 80ms on standard GPU hardware.
Ticket classification, sentiment analysis, contract extraction. We work with transformer-based models and fine-tune them on domain-specific corpora so the system understands your terminology, not just generic English.
Tell us about your project and we will reply within one working day.
Address: 18 Jazlyn Brae, Old Hageneshill, Northern Ireland, MR67 7EG, United Kingdom
Phone: +44 131 056 4068
Email: [email protected]
Real feedback from real projects.
"We asked them to reduce the time our warehouse team spent on manual stock counts. They delivered a computer-vision system that cut counting time by 60% in the first month."
Rachel Dunne, Operations lead at Greenfield Logistics
"Their NLP model now classifies about 1,200 support tickets a day for us. Mis-routing dropped from 18% to under 4%. The whole thing was live in five weeks."
Tomás Byrne, Head of customer experience at Cloverleaf Insurance
"They were honest about what AI could and could not do for our use case, which saved us from wasting budget on a project that would not have worked. We ended up doing a smaller, more focused engagement and got a great result."
Priya Kapoor, CTO at MedBridge Health