We build prediction models, document-processing pipelines, and internal tools that plug straight into the systems you already use. No generic dashboards, no six-month discovery phases.
Get in touch View servicesThree areas where our team spends most of its time, each one shaped by real client problems rather than a technology-first wish list.
We train models on your historical data to forecast demand, churn risk, or equipment failure. One logistics client reduced late shipments by 23% within four months of deploying their demand model.
Invoices, contracts, medical records: our extraction pipelines read them, pull structured fields, and push the data into your ERP or CRM. Typical accuracy sits above 95% after a two-week tuning cycle.
An AI model sitting in a notebook helps nobody. We wrap models in APIs, connect them to Slack or Teams alerts, and set up monitoring so you know when accuracy drifts before your users notice.
Axiomatic Labs started in 2021 when two data engineers kept seeing the same pattern: companies paid large consultancies for AI strategies, received a 90-page deck, and then had no one to actually build the thing. We decided to skip the deck.
Today the team is nine people. Five engineers, two data scientists, one designer, and one project lead. Everyone writes code. Everyone talks to clients directly. That means fewer meetings and faster feedback loops.
We work from Limerick and serve clients across Ireland, the UK, and mainland Europe. Most engagements start with a two-week paid pilot so both sides can test the fit before committing to a longer build.
"We had tried two off-the-shelf document scanners before calling Axiomatic. Their custom extraction pipeline handled our non-standard invoice layouts on the first pass. Processing time dropped from 40 minutes per batch to under three."
Fiona Kelleher, operations manager at a Galway-based food distributor
"The churn model they built flagged 78% of the customers who later cancelled, six weeks before they actually left. That gave our retention team enough time to intervene. We kept roughly a third of them."
Tomás Brogan, head of customer success at a SaaS company in Dublin
Describe what you are trying to solve. We will reply within one working day with an honest assessment of whether AI is the right tool, and, if so, a rough scope and timeline.