Canvass AI, a global leader in industrial AI software built for industrial engineers, today announced its platform has been deployed by a global food manufacturer to increase the utilization of its complex assets. To manage the complexity and variability in the chemical processes, process engineers used the Canvass Platform to reduce batch to batch variability resulting in reduced waste and increased asset efficiency. By deploying Canvass’s insights-based AI platform, the customer has estimated a 5% increase in asset utilization, leading to increased profitability in a process that was operating on razor-thin margins.
The customer is one of several industrial manufacturing enterprises with complex and dynamic processes, that are leveraging AI to augment the workforce to create efficiencies. Studies show, that when deployed correctly, AI solutions can enable the chemicals industry to generate gains of at least 15% in efficiency, throughput, and reduced waste1. With Canvass’s Platform, industrial companies successfully harness the power of AI to make data-driven decisions in their day-to-day operations 4x faster than other platforms, achieving significant resource and cost-efficiency.
“Our growing customer roster and expanding global footprint is a testament to the success of our industrial AI platform that successfully empowers industrials to maximize value from their digital investments,” said Humera Malik, CEO, of Canvass AI. “Canvass’s AI Platform is built for process and reliability engineers to be self-sufficient as they work with complex data to drive value and impact in everyday operations. This level of proactive control with operational and predictive insights eliminates the firefighting mode and enables the operators to run highly efficient operations.”
