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Predictive maintenance

Predictive maintenance software

Reduce downtime for your machines or production lines, save on spare parts, and prevent major breakdowns with predictive maintenance software. Improve your company’s maintenance management by staying ahead of what will happen with predictive systems developed using Data Science and Artificial Intelligence.

Industrial maintenance consultancy

Maximize the performance of your machinery by leveraging the information it generates. Transform your organization’s data into high-value visualizations to achieve efficient management of equipment care and maintenance processes. Increase productive hours and save on spare parts with predictive maintenance software. These predictive maintenance tools can help you foresee what might happen to your equipment, anticipating unforeseen problems, improving forecasting levels, and ultimately simplifying decision-making, which will also be more accurate. High-tech equipment optimization.

Predictive systems

Work based on predictions of what will occur.

Anticipation

Stay ahead of what is highly likely to happen.

Prevent breakdowns

Analyze equipment in real time and prevent major breakdowns through early detection.

What is predictive maintenance?

Predictive maintenance refers to the use of data-driven proactive maintenance methods designed to analyze equipment condition and help predict when maintenance should be performed.

Predictive maintenance software uses data science and predictive analytics to estimate when a piece of equipment might fail, so that corrective maintenance can be scheduled before the point of failure. The goal is to schedule maintenance at the most convenient and cost-effective time, always before it is affected. This allows for maximum equipment optimization, extending its service life.

What is predictive maintenance used for?

Having forecasts of what is highly likely to happen to machinery provides preventive and corrective equipment tasks with high levels of efficiency. It allows for anticipating events, improving planning, addressing unexpected events early, and improving the design of business strategies.

  • Real-time equipment monitoring
  • Optimization of parts and spares
  • Early anomaly detection
  • Increased productivity
  • Process optimization
  • Improved planning
  • Simplified decision-making
  • Freeing up staff for other tasks
  • Increased productivity
  • Cost savings
  • Clients

    They have joined the change

    Fagor
    Metro
    Airbus
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    Exolum
    Aedas Homes
    PwC
    Asisa Dental
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    Hospital Santa Cristina

    They have trusted us

    Fco. Javier García Villalón

    We have been able to automate dozens of processes and cut the time they needed by 100%. The support, experience and dedication of the LISDATA team throughout the digitalisation and automation process has been outstanding.

    Fco. Javier García Villalón CDO, Director of New Technologies and R&D Projects
    Jorge Valero

    LISDATA and its technical team have helped us take great strides in terms of digital efficiency, thanks to data analysis and the development of tailored software, based on an in-depth understanding of our needs.

    Jorge Valero Director of Applications and Data, AEDAS Homes

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