Aggity has announced that it will participate for another year in the tenth edition of the Advanced Factories fair (AF 2026), which will be held from May 5 to 7 of this year. For the occasion, the company will be present with its solutions based on artificial intelligence (AI), data analytics and predictive models, applied to both the manufacturing and defense environments, a segment in which the company has begun to operate, leading a consortium of companies to undertake dual defense projects, both in the military and civil emergencies.

Thus, and through its PRODEX business unit specialized in industry, Aggity will show its predictive factory proposal, a model based on AI and predictive models to automate operational decisions in the plant, optimize the use of resources and improve planning based on integrated and real-time analysis of data from different areas.

Production, logistics and planning data

The technology multinational, which will be present at stand D504, will present different use cases of this proposal in real industrial environments, in which AI and predictive models act on production, logistics, planning and supply chain data to improve the overall performance of manufacturing plants.

In the company’s opinion, one of the industry’s main challenges continues to be converting data from systems such as ERP, MES, plant sensors or maintenance platforms, into valuable information for making decisions. Aggity’s proposal integrates this information into digital models and predictive models capable of representing the real operation of the factory and simulating different scenarios before executing decisions.

On top of these models, AI introduces a layer of continuous learning that, supported by predictive models, identifies patterns, anticipates bottlenecks, predicts the behavior of the system and adjusts operations in real time. To achieve this, Aggity has its analytics and AI platform, Dalia by Aggity, which is transversal in nature and capable of converting data into intelligence based on predictive models. This predictive approach, supported by the intensive use of predictive models, Aggity points out, has an impact on key variables such as operational efficiency, resource use or the ability to respond to all types of changes.

Step forward in the defense sector

In the same line of application of AI to create scenarios based on predictive models that help make decisions, Aggity also shows its specific solutions for the defense sector at the fair. The company has begun to operate in this environment by leading a consortium of specialized companies, such as the Canary Islands XRF, focused on the use of AI, extended reality and predictive models to make decisions in complex scenarios.

With its entry into this type of dual defense projects, that is, those aimed at both the military and civil emergencies, Aggity wants to contribute to overcoming some of the most pressing challenges in this environment, such as the inappropriate use of more than 80% of the data generated, shorten response times to threats and increase defense and anticipation capacity through predictive models in the face of the constant growth of cyberattacks on all types of infrastructure.