Intelligence that works for you
We build AI systems that solve real problems: automating document processing, predicting customer behaviour, and extracting insights from data your team doesn't have time to read.
Get a free consultation
We build AI systems that solve real problems: automating document processing, predicting customer behaviour, and extracting insights from data your team doesn't have time to read.
Get a free consultation
AI Excel Space started in 2021 when our founders noticed a gap: small and mid-sized businesses wanted to use artificial intelligence but couldn't afford the consulting fees of large firms. So we built a practice focused on delivering measurable results within fixed budgets.
Our team of nine includes machine learning engineers, data scientists, and a dedicated project coordinator who keeps you informed at every step. We operate from Northern Ireland and serve clients across the UK, Ireland, and mainland Europe.
Every project begins with your data. We audit what you have, identify where AI can save time or money, and only recommend solutions when the expected return justifies the investment. If a spreadsheet macro solves the problem, we will tell you that instead.
Each engagement is scoped to your data, your timeline, and your budget. Here is what we do best.
We train models on your historical sales, churn, or maintenance data and deliver forecasts your operations team can act on. Typical accuracy improvements range from 18% to 35% over rule-based methods, depending on data quality.
From automated email triage to contract clause extraction, our NLP pipelines handle English and European-language text. One insurance client reduced claims-processing time by 62% after deploying our document classifier.
Quality inspection on production lines, vehicle damage assessment for fleet managers, shelf-stock monitoring for retailers. We deploy models that run on edge devices or cloud endpoints, depending on your latency requirements.
Not sure where to start? We run a two-week discovery sprint: interview stakeholders, audit your data estate, and deliver a prioritised roadmap with ROI estimates for each initiative. The report alone has saved clients months of trial and error.
AI models are only as good as the data feeding them. We design ETL pipelines, set up data lakes on AWS or Azure, and build monitoring dashboards so your team knows when data drift starts degrading model performance.
We build conversational agents grounded in your knowledge base, not generic large-language-model wrappers. Our bots cite sources, escalate to humans when confidence drops below a threshold you set, and log every interaction for compliance.
Four phases, clear milestones, no surprises on the invoice.
We spend one to two weeks understanding your business goals, interviewing key users, and cataloguing available data sources. You receive a written feasibility assessment.
A working proof-of-concept goes live within four to six weeks. We test it on a subset of real data and share performance metrics so you can decide whether to proceed.
Once approved, we harden the model, integrate it with your existing systems via API, and run load tests. Deployment typically takes three to five additional weeks.
After launch we monitor model accuracy, retrain on fresh data quarterly, and provide a dedicated Slack channel for your team to report issues or request tweaks.
Answers to the things clients ask us most often.
It depends on the task. A text classifier can work well with a few hundred labelled examples. A demand-forecasting model usually needs at least two years of weekly transaction records. During discovery we tell you exactly what is required and whether your current data volume is sufficient.
Most engagements fall between £8,000 and £45,000 depending on complexity. A simple document classifier sits at the lower end; a full computer-vision inspection system with edge deployment sits at the upper end. We provide a fixed-price quote after discovery so there are no hourly-rate surprises.
Yes. About a third of our clients are in Ireland, Germany, or the Netherlands. We handle meetings over video call and can travel for on-site workshops when the project scope warrants it.
Absolutely. We sign an NDA before any data transfer, process everything in your own cloud tenant if you prefer, and delete all copies within 30 days of project completion unless you ask us to retain them for ongoing support.
We have built integrations with Salesforce, SAP, Dynamics 365, Shopify, and dozens of internal REST APIs. If your platform exposes an API or accepts webhooks, we can connect to it.
Tell us what you need and we will reply within one business day.
86 Legros Bank, North Farrell, QW0 6SH, Northern Ireland, United Kingdom
Whether you have a specific project in mind or just want to explore possibilities, reach out. We are happy to have an informal call first to see if there is a fit before any paperwork.