AI & Machine Learning Company in Dublin

Regulatory documentation is a real line item on Dublin AI work, not an afterthought. A scoped AI proof of concept is a six to ten week engagement covering data audit, a baseline model, a hosted demo on eu-west-1 or North Europe, and a draft model card. A custom production ML model (fraud scoring, churn prediction, document extraction, batch release classifier) adds MLOps, monitoring, and an AI Act risk classification dossier. Full production AI systems layer on RAG, multiple models, fine-tuning, and enterprise integrations across an EU footprint. Dublin sits slightly below London and Amsterdam but above Lisbon and Warsaw, driven by the IFSC and big-tech talent premium. We quote fixed-fee per phase rather than open time-and-materials, with EUR invoicing through our European billing entity.

Regulation (EU) 2024/1689, the EU AI Act, entered into force on 1 August 2024 and applies in staged deadlines. Prohibited practices under Article 5 (social scoring, untargeted facial scraping, certain biometric categorisation) applied from February 2025. General-purpose AI model obligations under Chapter V applied from August 2025. The bulk of high-risk obligations under Chapter III, including conformity assessment, technical documentation per Annex IV, post-market monitoring, and registration in the EU AI database, apply from August 2026, with some embedded-product use cases extended to August 2027. Our discovery phase runs an Annex III classification on every use case. If your system is high-risk, we deliver the Annex IV technical file, a risk management system per Article 9, data governance evidence per Article 10, transparency artefacts per Article 13, human oversight controls per Article 14, and a post-market monitoring plan per Article 72. Ireland's enforcement landing zone is still consolidating, but the Data Protection Commission has been designated as the competent authority for AI systems that process personal data, and the Competition and Consumer Protection Commission is expected to play a market-surveillance role for other categories.

Yes. We ship RAG systems, internal copilots, document extraction pipelines, KYC review workflows, and agent-based operations tooling for Bank of Ireland, AIB, IFSC tenants, and EU-passported fintechs. DORA applied from 17 January 2025, which means in-scope financial entities must demonstrate ICT risk management, third-party register entries for critical providers, incident reporting on a defined timeline, and threat-led penetration testing for significant institutions. For these clients we stay inside EU regions (Mistral Paris endpoints, AWS eu-west-1 Bedrock, Azure North Europe OpenAI), apply Central Bank of Ireland model risk guidance and EBA internal governance guidelines, and produce DORA-aligned register entries, exit plans, and concentration risk assessments. Output logs feed existing SIEM, model risk, and DORA incident reporting platforms. Prompt injection defences, PII redaction, and human-in-the-loop review gates are standard, evaluated against an offline harness before every production push.

Ireland's lead supervisory authority position under the GDPR one-stop-shop mechanism means the Data Protection Commission supervises the EU operations of OpenAI, Google, Meta, TikTok, Microsoft, and other tier-one AI providers headquartered in Dublin. The DPC's guidance on AI, large language models, and automated decision-making under Article 22 has direct implications for any Irish controller building on these stacks. Our engagements produce a Data Protection Impact Assessment under Article 35 before training begins, document lawful basis (typically legitimate interests with a documented balancing test, or explicit consent for special-category data), apply data minimisation at ingestion, and implement Article 17 erasure pathways that genuinely propagate to training-data caches and embeddings indexes. For automated decisions with legal or similarly significant effects, we ship Article 22 safeguards including a documented human review pathway. Cross-border transfers ride on standard contractual clauses with a documented Transfer Impact Assessment per the Schrems II framework.

When a project requires genuine research (novel multilingual model architectures, low-resource Irish-language NLP, federated learning across hospitals, rare-event detection in batch manufacturing), we scope collaborations with the SFI ADAPT Centre at Trinity College Dublin, the SFI Insight Centre for Data Analytics across UCD, DCU, and NUI Galway, or CeADAR (Ireland's national centre for applied AI, hosted by UCD) rather than overselling in-house capability. Our core team handles applied engineering, MLOps, and productionisation, which is where most Irish AI projects actually stall on the path from PoC to deployment. For standard work (RAG, fine-tuning, classical ML, computer vision on known architectures) no academic partner is needed. We will tell you up front which bucket your problem fits into, and we have introduced Dublin clients to ADAPT's industry partnership programme, to Enterprise Ireland Innovation Partnerships, and to IDA Ireland's AI strategy grants when the fit, the timing, and the budget align.

We default to AWS eu-west-1 (Dublin), Azure North Europe (Dublin), and GCP europe-west1 (St. Ghislain) for storage, training, and inference. eu-west-1 in particular is one of AWS's most accelerator-dense regions in Europe, which matters for fine-tuning runs on H100 and Trainium instances. For LLMs that must remain in the EU (GDPR special-category data, DORA-regulated workloads, Irish public sector data, HSE health data), we use Mistral's Paris-hosted endpoints, Cohere's European deployments, or self-host Llama 3, Mistral, or Aya on EU GPU instances. Cross-border transfers to US-hosted models are acceptable only when standard contractual clauses, a Transfer Impact Assessment, and the EU-US Data Privacy Framework (where the provider is certified) cover the residual risk. We document residency in the model card, the data processing agreement, and the AI Act technical file so DPC, HPRA, and Central Bank auditors get a clear answer instead of a vendor-shaped silence.

A typical pharma AI build (batch release classifier, predictive maintenance on bioreactors, computer vision for fill-finish, drug discovery support model) takes sixteen to twenty-six weeks from kickoff to qualified production, assuming clean historical data, GxP-validated environments, and GAMP 5 documentation as part of scope. Weeks 1 to 4 cover data audit, IQ/OQ/PQ environment scoping, and a baseline. Weeks 5 to 14 cover modelling, iteration, and challenger testing against historical batches. Weeks 15 to 20 cover MLOps, 21 CFR Part 11 and Annex 11 audit trails, validated change control, and shadow-mode deployment alongside the existing process. Weeks 21 onward cover gradual rollout, HPRA-ready documentation, and a post-market monitoring loop. If you are pre-data or need labelling, add eight to ten weeks. We have shipped to this cadence inside Pfizer-pattern, MSD-pattern, and Janssen-pattern manufacturing stacks.

Most custom AI development qualifies for the Irish Research and Development Tax Credit under Section 766 TCA 1997, which returns 30 percent of qualifying R&D expenditure as a refundable credit (raised from 25 percent for accounting periods commencing on or after 1 January 2024), payable in three instalments and not subject to a ceiling on the underlying spend. Eligible activity generally includes novel modelling, architecture experimentation, algorithmic uncertainty, and systematic investigation, not routine integration. We deliver time-tracked logs, technical narratives, experiment histories, and failed-hypothesis documentation aligned with Revenue's R&D Tax Credit Guidelines. Where the AI generates qualifying IP, the Knowledge Development Box under Section 769I TCA can drop the effective corporation tax rate on profits from that IP to 6.25 percent (subject to OECD-compliant nexus apportionment). IDA Ireland's AI Strategy grants, Enterprise Ireland Innovation Partnerships, and Research Ireland's AI Centres co-funding may also apply. Final eligibility sits with your tax advisor and Revenue.