Dublin's economy has an unusual composition for a city its size: the EMEA headquarters of a large number of American technology companies, a serious pharmaceutical and medical-device manufacturing base outside the city, the financial services cluster around the IFSC, and an aircraft leasing industry that is genuinely globally significant.
From the multinationals we mostly get governance-shaped problems. A support or operations function serves forty countries from one building, which means one system touching forty sets of local expectations, several languages, and a legal team that needs to know exactly what the model sees and where it runs. Support at that volume is a well-understood pattern — support deflection describes the version we build — but the interesting engineering is in the boundaries, not the answers.
Pharma and medtech send document work of a very particular kind. Batch records, validation packs, deviation reports and submissions are long, structured, and consequential, and the standard of proof for an extraction is higher than in almost any other sector: a plausible answer is a defect. That is why our clinical document intelligence pattern is built around citation to the source page rather than around fluency, and why life sciences research work is scoped as retrieval first.
Financial services and leasing arrive with contracts. A lease or a facility agreement is a hundred pages of negotiated variation, and the question is rarely what does it say but which of our four hundred agreements say something different from the template. That is a comparison and extraction problem, and it sits alongside the decisioning work described under financial services.