New Dryer Moisture Optimization Solution Helps Operators Maintain Desired Product Quality while Minimizing Energy and Water Use
“Current methods of dyer control are manual and inefficient leading to extended production cycles, delayed product delivery, increased energy consumption, and a reduction in equipment lifespan,” said Humera Malik, CEO of Canvass AI. “The Canvass AI DMO solution optimizes product quality, improves product yields, reduces energy and water usage, and can be applied to all types of dryers and drying processes in industries ranging from food processing and paper to biopharmaceuticals and chemicals. It broadens our growing suite of industrial AI solutions that target energy efficiency, with ancillary benefits in the reduction of water usage and GHG emissions.”
The DMO solution also features Canvass AI’s Auto Data Cleanup, which helps engineers cut down on the time spent preparing data for AI modeling and analysis by up to 80%. Process engineers can use the Canvass AI software to perform what-if analysis to respond to operational issues and to improve operating guidelines.
For a demo of Canvass AI solutions visit https://www.canvass.io/book-a-demo.
About Canvass AI
Canvass AI puts industrial companies in control of their data to achieve operational excellence. Designed to be readily accessible and quick to deploy, companies use Canvass AI’s award-winning patented software for high performance decision making, to future-proof operations, and drive net-zero targets. Backed by Alphabet, and Yamaha Motor Ventures, the company is recognized by CB Insights as one of the top technology companies that is advancing manufacturing.
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Shelly Sofer
Canvass AI
shelly.sofer@canvass.io
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