ENG
CAST
Optimizes industrial processes using Artificial Intelligence and Machine Learning.
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How do we make the industry more
efficient, competitive and sustainable?
These are some of the challenges
facing the industries.
Machine downtime warnings
Equipment reliability
Energy consumption control
Low throughput warning
Repetitive failures
Failure prediction and classification
We help to detect, minimize and solve problems in the production lines of industrial plants
What are the Benefits?
Uses sensor data to obtain information about machinery conditions.
Increases output production and reduces organizational or process silos.
Enables predictive maintenance, resulting in a lower machinery downtime rate.
Simplifies processes and increases the equipment overall productivity.
Our Machine Learning module learns from your operations and provides recommendations.
Decreases carbon footprint.
Does more with less, increasing productivity and sustainability.
Our Machine Learning module learns from your operations and provides recommendations.
How does it work?
Data generated by machinery, sensors, and devices involved in the production processes is obtained in real time.
The data are structured to convert them into makes equipment maintenance and production management more efficient.
Artificial intelligence is used to generate information that makes equipment maintenance and production management more efficient.
The reports and insights enable specialists to make optimization decisions and improve the process.
Our Mission
We use information from the past to
anticipate the future.
Meet the founders
Diego Martiniano
Co-Founder
Systems Engineer with a Master in Business and Management. Working in the software and consulting industry for 20 years. Serial tech entrepreneur.
Macarena Fernandez Bedini
Co-Founder
Industrial engineer and entrepreneur, with a solid background in supply chain optimization and implementation of highly efficient production strategies.
Contact us
For more information write us and we will get in touch
C/ del Perú, 186, bis, 08020
Barcelona, España
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