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Fracttal
Fracttal
fracttal.com

Locations

Madrid, Spain · Mexico City, Mexico · Madrid, Spain · Monterrey, Nuevo Leon, Mexico · Providencia, Santiago Metropolitan Region, Chile · Florianópolis, State of Santa Catarina, Brazil · alcobendas, madrid, spain

industry

Information Technology

Size

201 - 1000 employees

Stage

Other

founded in

2014

Fracttal offers intelligent maintenance and asset management software (CMMS/GMAO/EAM) that is 100% mobile and cloud-based. These tools allow companies to manage their maintenance in a more sustainable, secure, and efficient way that guarantees the integrity and continuity of their operations, as well as the safety of workers. Demonstrated improvements include reducing asset failures by over 25%, improving maintenance costs by at least 15%, and increasing productivity by more than 35%, while also reducing accidents and operational risks. Fracttal, which counts companies such as Acciona, Unilever, Iberostar, Veolia, and FedEx among its almost 1000 customers, directs its solutions to large multinationals and SMEs in various industry sectors, including manufacturing, facility management, energy, and transport, in which it already has a significant presence. With its main solution, Fracttal One, companies can remotely manage all maintenance operations from any device and for any type of asset, including equipment, vehicles, machinery, and facilities. This intelligent tool, a leader in several of the world's most prestigious rankings, facilitates real-time collaborative work between different work teams and integrates with any ERP. Fracttal One improves decision making, maximizes efficiency, and extends the useful life of physical assets, while reducing incidents and unplanned downtime that can lead to delays, lost profitability, and accidents. Fracttal has also developed Predictto, an AI-enabled predictive maintenance solution that allows companies to anticipate failure conditions with a high percentage of certainty. To do so, Predictto applies Machine Learning to big data, identifying the behavior of assets based on proprietary reliability and degradation models.

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