Screen a product against the EU AI Act and GDPR in a few minutes and generate an auditable gap report with legal references — a self-assessment tool, not a substitute for legal advice.
Run the assessment →Humans, rules, machine learning or generative AI — choosing where AI belongs is an engineering trade-off across accuracy, cost, complexity and risk. A CXO-level framework, with a decision tree and where projects actually die.
Read the article →What pre-training, post-training and evaluation actually involve — and what they mean for compute investment, data governance and talent decisions in Ireland and the EU.
Read the briefing →What machine learning actually is, where it earns money in a 20–250 person European business, what a first project really costs, and what the EU rulebook asks of you as it stands in August 2026.
Read the guide →Where deep-tech AI startups should own the stack, where they should rent it, and where ownership has quietly stopped being an option. Covers cost dynamics, regulatory obligations, licence-and-hire structures, and decision protocols.
Read the research note →How AI, machine learning and software engineering can cut avoidable cost and shorten lead times for Irish and EU metal fabricators — with a reference architecture and a 90-day pilot plan.
Read the white paper →How AI governance and security differ, what each one guards against, and how to combine them into a single layered defence.
Read the article →A plain-English handbook for SMEs — and how the AI Act, Data Act and a wave of new regulation now sit on top of it.
Read the guide →