Practical AI that fits your business, not the other way around
We build, train and deploy machine learning models for companies that need measurable results from their data. No buzzwords, just working software.
We build, train and deploy machine learning models for companies that need measurable results from their data. No buzzwords, just working software.
We started AI Insight Trends because too many companies were buying AI tools they could not use. Vendors sold dashboards full of graphs, but nobody on the client side knew what the numbers meant or what to do next.
Our team of eight includes applied mathematicians, Python engineers and a former supply-chain director. That mix matters. The maths keeps models honest, the engineering makes them fast, and the operational experience keeps us focused on outcomes you can measure in pounds and hours, not abstract accuracy scores.
We work from Northern Ireland and serve clients across the UK and Ireland. Most of our projects run between six and fourteen weeks from first call to production deployment.
Each service starts with your data and your question. We scope tightly, deliver in iterations and hand over models you can actually run without us.
We build regression and classification models that forecast demand, churn or equipment failure. A recent retail client reduced overstock by 23% within three months of going live with our demand model.
Quality inspection, document scanning, shelf auditing. We fine-tune detection models on your own images, typically needing 300 to 500 labelled samples to reach production-grade accuracy.
Ticket classification, sentiment analysis, entity extraction from contracts. We integrate with your existing CRM or ticketing system so results appear where your team already works.
Models degrade. We set up automated retraining pipelines, monitoring dashboards and rollback procedures so your predictions stay accurate without manual baby-sitting.
Before writing any code we audit your data estate: what you collect, where it lives, how clean it is. This audit typically takes two weeks and produces a prioritised roadmap of AI opportunities ranked by effort and expected return.
We connect large language models to your internal knowledge base using retrieval-augmented generation. Your staff can ask questions in plain English and get answers grounded in your own documents, not generic internet text.
Four phases, clear handoffs, no surprises.
We spend one to two weeks understanding your data, your constraints and the question you need answered. This phase ends with a written scope document and a fixed-price quote.
We build a working proof-of-concept on a sample of your data. You see real outputs within three weeks, not slides.
We harden the model, write tests, package it as an API or batch job and deploy it into your infrastructure. Average production phase: four to six weeks.
After launch we monitor model performance for 90 days. If accuracy drifts below the agreed threshold we retrain at no extra charge during this window.
Honest answers to the things clients ask before signing.
Tell us about your data and your question. We reply within one working day.
866 Highfield Road, West Lubowitz, TC1 2YK, Northern Ireland, United Kingdom
