We build machine learning models, automate repetitive workflows, and integrate natural language processing into your existing software. Based in Northern Ireland, serving clients across the UK and beyond.
No jargon walls. No six-month discovery phases. You tell us the problem, we prototype a solution in weeks.
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AI Boosters Hub started in 2021 when three machine learning engineers got tired of watching businesses pay enterprise consulting fees for models that never left the staging environment. We wanted to do things differently: smaller teams, faster iterations, and production-ready code from day one.
Our office sits at 12 O'Hara Close, West Emard, CG6 7BR, Northern Ireland, United Kingdom. The team has grown to twelve people, including specialists in computer vision, NLP, and data pipeline architecture.
We work mostly with mid-size companies in logistics, healthcare administration, retail, and financial services. The common thread? They all had data they were not using. Invoice stacks that took 40 hours a week to process manually. Customer support queues that could be halved with a well-trained chatbot. Inventory forecasts built on gut feeling instead of three years of sales history.
That is where we come in. We take your existing data, clean it, build a model, test it against real scenarios, and deploy it into your live systems. Average time from kickoff to first production deployment: six weeks.
Every engagement starts with a two-hour discovery call (free, no commitment). We figure out what you need, whether we can help, and roughly how long it will take. Here is what we do:
We train supervised and unsupervised models on your data. Fraud detection for payment processors, churn prediction for subscription businesses, demand forecasting for warehouses. Each model ships with a monitoring dashboard so you can track accuracy over time and know when retraining is needed.
Sentiment analysis on product reviews, automated email classification, contract clause extraction, and multilingual chatbots. We fine-tune large language models on your domain-specific vocabulary so the output actually sounds like your industry, not a generic text generator.
Quality inspection on manufacturing lines, licence plate recognition for parking systems, medical image classification for radiology departments. We handle everything from data labelling to edge deployment on cameras and embedded devices.
Before any model can work, your data needs to be clean, connected, and flowing. We build ETL pipelines that pull from your CRM, ERP, spreadsheets, and third-party APIs into a single warehouse. Real-time dashboards come standard.
Customer-facing chatbots trained on your knowledge base, FAQ documents, and past support tickets. We integrate with WhatsApp, Slack, Microsoft Teams, and your website. Average deflection rate for our bots: 62% of tier-one support queries handled without a human agent.
Not sure where AI fits? We run a two-week audit of your operations, identify the three highest-impact opportunities, estimate ROI for each, and deliver a prioritised roadmap. You can build it with us or hand the plan to your internal team.
Every project follows the same five-stage process. Timelines vary, but most engagements complete within four to ten weeks.
"They built us a document classification system that cut our processing time from 35 hours a week to about 6. The model was live in five weeks. I still find that hard to believe."Sarah M., Operations Director, Belfast logistics firm
"Our chatbot handles around 400 customer queries a day now. Before, that was four full-time support agents. The bot escalates the tricky stuff to humans, and customers actually prefer it for simple questions."Raj P., CTO, e-commerce retailer, London
"The demand forecasting model paid for itself in three months. We reduced overstock by 22% in the first quarter after deployment."James K., Supply Chain Manager, Manchester
| Address | 12 O'Hara Close, West Emard, CG6 7BR, Northern Ireland, United Kingdom |
| Phone | +44 118 147 4208 |
| [email protected] |
Office hours: Monday to Friday, 9:00 am to 5:30 pm GMT. We respond to emails within one business day.