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Polish Firm to Deploy Predictive AI Across Six Finsa Factories in Spain

Transition Technologies PSC has signed a contract to digitize six production plants of Spanish wood-based panel maker Finsa, covering more than 900 machines with a machine learning based predictive maintenance system.
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Polish technology company Transition Technologies PSC has signed a contract to deploy a predictive maintenance system across six production plants operated by Finsa, one of Europe's largest manufacturers of wood-based panels, based in Spain. The project will cover monitoring of more than 900 machines and is meant to replace the company's current reactive repair model with an approach built on continuous analysis of shop-floor data.
Finsa is a Spanish group with a nearly century-long history and one of Europe's leading producers of particleboard, MDF and other wood-based materials used in construction and furniture manufacturing. The company employs more than 3,300 people and runs production across multiple plants in Spain and other European countries. Six of those plants will now be fitted with the new digital system built by the Polish engineers.
What exactly is changing
At the core of the rollout is a predictive maintenance system. Instead of reacting to breakdowns after they happen, machine learning algorithms continuously analyze data from sensors installed on the machines and detect signals that a fault is coming before it actually occurs. In practice, this is meant to mean fewer unplanned stoppages on production lines and lower costs from emergency repairs.
The project's technology stack consists of three elements. The Kepware platform handles industrial connectivity, collecting data directly from machines and controllers on the shop floor. ThingWorx analytics tools process that data and build the predictive models. The final piece is integration with the SAP system, which automatically receives work orders generated for maintenance teams whenever the model flags a risk of failure.
Why industry is betting on automation
Manufacturers of building materials and furniture components run lines where a single failure of a key machine can halt an entire production line for hours. In low-margin sectors like wood processing, the cost of such downtime is often measured in hundreds of thousands of euros a year. That is why an increasing number of large industrial manufacturers in Europe are choosing to invest in systems that analyze machine data instead of waiting for the next breakdown.
European heavy industry now treats artificial intelligence not as an experiment, but as a foundation for operations and competitiveness - Szymon Bartkowiak, CEO of Transition Technologies PSC
A Polish firm in Western Europe
Transition Technologies PSC works as an integrator of IoT, AI and cloud solutions for industry, as part of the larger Transition Technologies group, which employs more than 2,000 engineers and has delivered more than 1,200 projects worldwide. The Finsa contract fits into the company's strategy of expanding into Western European markets, where it competes with international industrial systems integrators for manufacturing clients.
For Poland's IT sector, contracts like this carry weight beyond a single deal. They show that domestic firms specializing in industrial artificial intelligence can win tenders against large foreign industrial groups, rather than only serving the local market. Predictive maintenance is among the fastest-growing applications of AI in industry, alongside warehouse robotics and supply chain optimization.
What comes next
The source article does not give a timeline for the full rollout or the financial value of the contract. It is also unclear whether the project will eventually expand to other Finsa plants beyond the six named. The real effect of the rollout, including its actual impact on the number and length of production stoppages, will only be measurable once the system is running across all the plants covered by the agreement.

