SSAB Americas to use Noodle.ai to increase efficiency

Artificial intelligence specialist provider Noodle.ai and SSAB Americas, the North American division of Swedish global steelmaker SSAB, are planning to deploy artificial intelligence throughout elements of the company's steel manufacturing process in its US operations.

Noodle.ai will focus on applying its Enterprise AI applications to enable 'probabilistic, pattern-based decisions, rather than deterministic, rules-based decision making, the aim being to improve efficiency at SSAB's US operations.

SSAB develops high-strength steels and provides services for enhanced performance and sustainability to make end products lighter, stronger and more durable. The company's US plants have an annual steel production capacity of nearly 2.5Mt.

Noodle.ai's Enterprise AI Platform and suite of applications will 'allow SSAB Americas to utilise its sensor data and pair it with external data to anticipate and plan for key variables affecting business operations'. Noodle.ai's applications identify patterns in complex combinations and produce variations, predict costly product quality issues before they occur, and detect opportunities to recommend plant-wide optimisations to increase profit.

"SSAB Americas is a pioneering manufacturing company that is looking to embrace new technologies to improve the quality of their products, service to customers and competitiveness," said Steve Pratt, founder and CEO of Noodle.ai.

Tom Toner, vice president of operations for SSAB Americas, commented: "We are excited to implement new digitalisation technologies and to explore how the application of Enterprise AI can impact our performance and create a competitive advantage."

According to Toner, "Our goal is to learn how we can increase efficiency and decrease any bottlenecks in our operations with this advanced technology."