The real challenge in AI is no longer access to data.
It is fragmentation.
Most companies are not short on information. They are surrounded by it, spread across disconnected systems such as ePOS, inventory, customer records and supply chain operations. The result is familiar: the data exists, but it is not usable at the moment a decision needs to be made.
This is where Galvia AI becomes especially relevant.
Founded in Galway in 2017 by John Clancy, Galvia is not positioned as another analytics dashboard. Instead, the company introduces an AI layer on top of existing systems, designed to connect fragmented data, surface hidden patterns and deliver real-time prompts for action.
That shift matters.
It moves the conversation from What happened? to What should we do now?
This approach is already finding traction across different sectors. In retail, examples include Petstop and Art & Hobby. In education, Galvia worked with the University of Galway on Cara, an AI platform designed to support student engagement. Broader signals around the company also include trusted relationships with NTT DATA Business Solutions and Cognizant, expansion into the UK through Manchester, and AI adoption programmes already in motion.
What stands out here is not only better analytics.
It reflects a broader change in how AI is being positioned inside organisations: moving from systems that analyse toward systems that guide decisions in real time.
At AI Dubliners, we track these kinds of signals closely.
Because the bigger question is no longer whether companies have data. It is whether they are beginning to use AI as part of how decisions actually get made.
