Segula Technologies has presented the project SOFIAfocused on the Industrial software development of the data capture and display applications in “tool machine.” Specifically, he is working on a software based on the reduces up to 33% time and complexity of industrial processes. The project will be expected to end at the end of 2026.
At present, Sofia is being developed in Vitoria-Gasteiz, within the framework of the CDI Transmissions call, and eight companies are collaborating: Proxyam TSK, Azvi Group, Segula Technologies, Cotesa, Inixa and Undanet, as well as the universities of Salamanca and Malaga.
Sofia’s key is that the concept of “software factory” introduces into the industry, in which AI has an essential role, since it is the vehicle that allows automation and reduce development tasks. The project raises an ecosystem that allows you to consult the data dynamically, and generate personalized graphs or panels with less effort.
Thus, the user can interact directly with a more friendly interface. Sofia also has the AAS use application (ASSET Administration Shell) and UNS (UNIFIED NAME SPACES) for system standardization.
The initiative is structured in three main blocks that address different applications: code generation with AI, intelligent connectivity in the naval sector, and connectivity and data structure with AAS.
The first of these blocks, the code generation with AI, focuses on using Machine Learning models to generate automated code capable of executing concrete tasks. For this, large language models are used in the generation of the necessary code. Thus they can create, for example, an anomalies detector. or a classifier. The idea they have in Segula Technologies is to replicate the behavior of a person in software development, at the same time that processes are accelerated and the intervention of humans is reduced in repetitive tasks.
As for intelligent connectivity in the naval sector, with Sofia, standardization in the capture of data in machinery is sought. Specifically, in the electrogenerating system of the ships. These systems are distributed in the fleets and need, in addition to capturing data, using them later to follow up on maintenance or performance. With this project a common infrastructure is proposed to capture data in devices distributed in the EDGE, and then group them and manage them in a single central points.
In the case of this sector, the central point will be a land system, which will be to which the information arrives thanks to the data group. In this way, solutions can be given to common problems that can happen in ships.
Finally, about the AAS data structure, it addresses a problem that arises with the implementation of machinery in production lines: the lack of standardization of many systems. Using standards as AAS allows you to make changes to a robot in a production line in less time. It also gives the opportunity to increase the capacities of the production line, allowing the user to access the data generated through a chat, in which you can consult the data of a production line using numerous language.
Jorge Martinez Santiago, I+D Responsible from AI has pointed out that «since 2018, in Seula Technologies we are making a strong commitment to R&D projects focused on the use of AI and, in recent years, they have expanded not only to meet needs such as process optimization, but also we are focusing on supporting our clients to be faster and faster, reducing the time of prototyping of Sada solutions or reducing complexity in processes such as process detection tool. Sofia is an R&D project that starts from an idea with a high technical risk and that seeks to validate technologies and generate prototypes from which to develop new tools and services to our customers. That is, Sofia raises an ecosystem of tools that allows us to reduce the time and complexity that we would normally need »by 33%».
