Canvass AI, a leading provider in industrial AI software, announced that it has been granted a patent, US 11,294,367 by the U.S Patent and Trademark Office (USPTO) for its Industrial AI platform that empowers industrial workforces with actionable insights to improve decision making and reduce operational complexity.

"This patent solves one of the most challenging roadblocks to Industrial AI success. By pushing the boundaries of AI innovation, our customers have the confidence to trust AI and make accurate, data-driven decisions to positively impact their day-to-day operations," said Humera Malik, CEO of Canvass AI. "This is just one of many milestones to come for our company as we seek to empower the next generation of industrial engineers with data."

According to Forrester, on average, between 60% and 73% of all data within an enterprise goes unused. For the industrial sector, this means that common operational challenges such as batch-on-batch variability, unplanned downtime, and waste remain unresolved because traditional analytics are unable to analyze multi-dimensional variability in time-based data relationships and provide accurate results.

Peter Reynolds, ARC Advisory Group, commented, "Canvass AI's new patent announcement shows a commitment to innovation with a new AI architecture that helps process engineers and industrial data scientists better understand the relationships among process variables. The capability of the Canvass solution to provide accurate time-series forecasts and predictions will be a valuable tool to complement Advanced Process Control and other real-time process optimization technologies."

Canvass AI's customers span the oil and gas, chemical and petrochemical, metals and mining, food and beverage and energy sectors. Its platform provides engineers with easy-to-use Industrial AI solutions to apply and scale across their operations, without requiring coding expertise or relying on data scientists.