Solutions
We provide solutions to meet our customers' most demanding needs.
With 35 years of experience, we are leaders in industrial services

Learn about Preditec’s solutions

MonoM Data Fabric
Create, customize and scale tailored solutions for your industrial operation. MonoM's platform guides you through the entire process: from data integration and governance to the creation of AI applications and agents that solve your unique challenges.

MonoM APM
The APM and predictive maintenance solution that allows you to move from data to action, and from action to leadership. Anticipate failures, optimize your assets and transform maintenance into a competitive advantage. These technologies integrate intelligent sensors and analysis tools for proactive and predictive maintenance. This reduces costs, increases productivity and improves equipment reliability.

Condition-based monitoring Asset Performance Management
Oil analysis is an essential technique in the predictive maintenance of industrial machinery. It allows for the detection of incipient failures, optimization of maintenance cycles, and prevention of costly breakdowns. By evaluating the lubricant's condition, signs of wear in mechanical components, the presence of contaminants, and oil degradation can be identified.
At Preditec, we offer advanced industrial oil analysis solutions, providing precise diagnostics to improve operational efficiency and reduce maintenance costs.

Autonomous robotics
At Preditec we offer autonomous inspection solutions using ground robots and aerial drones, designed to operate continuously in complex industrial environments. These technologies reduce labor risks, optimize resources and enable predictive maintenance strategies based on high quality data.

Digitization of Maintenance Operations
The digitization of maintenance improves industrial management by automating tasks and providing real-time data for better decision making. With solutions such as ATR (Remote Technical Assistance) and SAAM (Advanced Analysis and Monitoring Systems), it is possible to monitor assets, anticipate failures and reduce downtime.
These technologies integrate intelligent sensors and analysis tools for proactive and predictive maintenance. This reduces costs, increases productivity and improves equipment reliability.

