In December, we shared the good news that TIS TIDE—a project we are developing in collaboration with scientists from the Faculty of Organization and Informatics in Varaždin—has secured seven-figure non-repayable funding through the IRI3 program. Last week, the official kick-off took place in Varaždin.

The core team gathered on-site. If you’ve ever battled an endless sea of forms, templates, documents, and other nerve-wracking add-ons—biting your nails in the hope that you won’t be the one facing that nightmare of a single, BUT crucial document lost somewhere in the labyrinth of a project as demanding as IRI3—then you know that every opportunity to come together and celebrate a hard-won victory is more than welcome.

Especially when it marks the beginning of a three-year research and development project valued at €2.16 million. Enough to set the chessboard and once again position TIS as one of the leading innovators in the domestic IT sandbox? Hell yeah.

Vjekoslav Majsec, one of our department heads and the captain of the project ship whose launch we are witnessing, introduces the story:

This project represents an important collaboration between a scientific institution and its research community, and a recognized company developing innovative solutions for digital transformation, based on machine learning and AI.

In other words, our AIs are already hard at work—fingers on the starting line, brains fully engaged—ready to prove their superiority in the field once again.

We are entering the project from a well-researched and informed premise: slow decision-making remains a key challenge for today’s companies. As many as 86% of managers feel overwhelmed by data, and only 20% of companies believe they make decisions quickly and efficiently.

And this is where TIS TIDE steps in.

Further details are provided by the project lead and official coordinator of our partner institution, Dr. Nina Begicevic Ređep, Project Manager for the Faculty of Organization and Informatics:

The main goal of the project is to develop a cognitive and distributed digital platform for multimodal and integrated strategic collection, analysis, visualization, and environmentally sustainable optimization of business-critical information.

Behind this complex name lies an advanced technological architecture designed to solve a modern-day problem: how to extract valuable insights from vast amounts of unstructured data—insights that are essential for high-quality decision-making—while minimizing energy consumption.

It is an AI platform that will not only collect data but, as envisioned, use processed information to support management in making better, more informed decisions—commonly referred to as informed decision-making, aimed at improving organizational agility.

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