We help businesses in the UK automate repetitive tasks, extract insights from messy data, and make faster decisions. No hype, just measurable results you can track week by week.
Trusted AI Horizon was founded in 2019 by a group of machine learning engineers who spent years watching companies buy AI tools they never used. We decided to do it differently: start with the business problem, pick the simplest model that solves it, and train the client's own staff to maintain the system after handoff.
Our office sits in Northern Ireland, but we work with organisations across the UK and Ireland. Most of our projects run between eight and sixteen weeks from kickoff to production deployment. After launch, we offer a six-month support window where we monitor model performance and retrain when accuracy drifts.
Every engagement begins with a two-day data audit. We look at what you already collect, identify gaps, and estimate the return on investment before a single line of code is written. If the numbers don't add up, we tell you.
Each service below has been delivered at least twenty times. We know the pitfalls, the typical timelines, and the infrastructure requirements before we start.
We build forecasting models for demand planning, churn prediction, and equipment failure detection. Our retail clients typically see a 15–22% reduction in overstock within three months of deployment. Models run on your existing cloud infrastructure or on-premise servers.
From customer support ticket classification to contract clause extraction, we train language models on your specific domain vocabulary. A recent insurance client automated 68% of claim triage using a fine-tuned classifier that processes 4,000 documents per hour.
Quality inspection on manufacturing lines, vehicle counting for traffic management, medical image analysis. We deploy models that run at 30+ frames per second on edge devices, keeping latency under 50 milliseconds for real-time applications.
AI models are only as good as the data feeding them. We design and build extraction, transformation, and loading pipelines that clean, validate, and version your data automatically. Typical setup takes four to six weeks and handles up to 50 GB of daily throughput.
Not sure where AI fits in your business? We run a structured workshop with your leadership team, map every process to an automation opportunity, and rank them by expected ROI. You walk away with a prioritised roadmap and realistic budget estimates.
We audit existing AI systems for bias, data leakage, and adversarial vulnerability. Our reports follow the EU AI Act risk framework and include remediation steps with estimated timelines. Audits typically complete in two weeks for a single-model system.
From signed contract to production deployment. Complex multi-model systems may take longer, but we scope that upfront.
Across 47 projects measured twelve months after launch. The lowest was 1.4× for a proof of concept; the highest was 8.1× in logistics.
During the six-month support window, we respond to critical issues within a day. Non-critical tickets are addressed within 72 hours.
You own every line of code, every trained model weight, and every data pipeline we build. No lock-in, no licensing fees after project close.
"They built a demand forecasting model for our 14 warehouses in ten weeks. Stockouts dropped 31% in the first quarter. The team was honest when certain approaches wouldn't work for our data volume."
"Our NLP classifier now handles 4,200 support tickets a day without human review for the routine ones. The accuracy sits at 94.6% after six months, which is higher than our manual process was."
"The strategy workshop alone saved us from a £200k mistake. We were about to invest in a generative AI chatbot when what we actually needed was a simple rules engine with an ML fallback. Practical advice, no fluff."
Prefer a conversation before filling in a form? Call us during business hours (Monday to Friday, 9 am to 5:30 pm) or send an email any time. We respond within one working day.