Research and
Development
The area of Research and Development is essential for any industrial sector. R&D professionals are responsible for staying competitive, staying ahead of customer needs, and understand the best way to optimize resources.
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It is also possible to reduce the costs, waste and environmental impacts of production activities, besides increasing the quality, efficiency and safety of products or processes.
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This is also the sector that highlights and generates added value and the industry's competitive edge. The flexibility of our SaaS solution, combined with Data Scientists , allows us to map out and create customized solutions to match your needs:
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Our solution collects and processes data on performance, behavior and other relevant indicators in real time, from the connection to the machinery on your shop floor.
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It allows communication and integration between different devices, systems and platforms, increasing interoperability and process flexibility.
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Enables the creation of intelligent, adaptive and customized solutions that respond to market demands and expectations.
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The ST-One Solution allows data from your industrial machinery to be collected and using an intelligent algorithm, labeled and organized. Our data scientists process the data and create dynamic dashboards in an easy-to-view interface that can be accessed from any device.
Case Success
Find out more about how we help our clients improve performance, monitor quality and maintenance indicators, support important Research and Development decisions, assist in the management of natural resources and raw materials, among other possible applications:
Case Success-
Sustainability and innovation: steam production with data science
A Case Study on Performance Analysis and Quality Enhancement
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Henkel reduces water costs and gas consumption with the ST-One Solution™
A case study of how Data Science optimized gas use and lowered water costs in a chemical industry
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Data Science and OEE: the key to Reliable Efficiency
A case study on how Data Science contributed to the increase of OEE in a beverage manufacturing industry
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Data Science at food industry: how to take a leap in productivity
A case about how Data Science made productivity and performance in a food industry take a leap
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