Resources

Saint-Gobain Weber uses AI and real-time data analysis to save time, increase production efficiency, and foster a data-driven culture.

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In this white paper, we highlight four key capabilities that make digital platforms transformative and enable them to create long-lasting improvements in the manufacturing sector.

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Using Braincube’s self-service analytics, a manufacturer of paper products was able to reduce steam consumption and improve efficiency, resulting in significant energy savings and increased compliance.

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Braincube, a market-leading manufacturing data software platform with specialist industrial applications, has raised €83 million of growth equity investment. The investment was led by Scottish Equity Partners (‘SEP’).

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The manufacturing technology landscape is ever-changing, with new products and vendors entering the market every year. In such a saturated market, here are three technology “lessons learned” from some of the world’s leading manufacturers.

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Energy Company X saved over $1 million and improved their distillation process by 35% using AI to help them reduce costs and minimize waste. Learn more about their successful implementation in this case study.

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In this case study, learn how Kimberly-Clark was able to leverage its Digital Twin data to build a predictive data model to optimize processes with high accuracy.

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Braincube’s IIoT Platform enabled International Paper’s teams to reduce variability, improve knowledge sharing, and repeat Golden Runs.

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This white paper introduces digital First Time Right tools that reduce variability, enhance situational awareness, and improve efficiency.

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Aubert & Duval implemented a corporate energy consumption strategy to improve compliance, reporting, and production planning using Industry 4.0 to reduce electricity usage by 3% and gas consumption by 19%.

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