Nuritas and Irish AI Biotech: The Bigger Lesson for SMEs BuiltBrilliant

On the Business Post’s podcast in October 2026, Nuritas founder Nora Khaldi described her company’s work with a line worth framing on the wall: it would have taken 30 million years without AI. Nuritas uses AI to discover peptides for health and nutrition, and the scale of the claim says something important that has nothing to do with biotech.

What the 30-million-year line actually means

The claim is not about magic. It is about search space: the number of possible molecules worth testing is so large that brute force, human trial and error, would take geological time. AI collapses the space by predicting what is worth testing before the expensive work starts. The pattern is: AI predicts, humans verify, and the bottleneck moves from searching to deciding.

The SME version of the same lesson

The same pattern applies to ordinary business tasks, at a smaller scale. Consider quoting: the space of possible quotes, based on your price list, the customer’s answers, and your margin rules, is finite and computable. An agent drafts the quote in seconds; the human verifies and sends. You did not compress 30 million years, but you compressed an afternoon into a minute, which is the same principle applied to your search space.

The five starting use cases are in our AI for Irish SMEs guide, and the operating pattern is our agents guide: AI drafts, humans send.

Why the Irish context matters

Nuritas sits inside the ecosystem described in why Dublin is Europe’s AI hub: the funding wave, the accelerator pipeline, and the applied-AI pattern we traced in 5 Irish AI startups to watch. The lesson from the deep-tech end of Irish AI is the same as the SME end: find the search space, let AI explore it, keep humans on the decisions.