SAN FRANCISCO – Noodle.AI and SSAB Americas, a global steel manufacturer, announced plans today to deploy artificial intelligence throughout elements of the company’s steel manufacturing process in its U.S. operations.

SSAB develops high-strength steels and provides services for enhanced performance and sustainability to ultimately make end products lighter, stronger and more durable. Through a cost-efficient and flexible production system, SSAB Americas’ plants in the U.S. have an annual steel production capacity of nearly 2.5 million tons.

Pattern-based decisions

To improve efficiency in SSAB’s U.S. operations, Noodle.ai said it will focus on applying its Enterprise AI Applications to enable probabilistic, pattern-based decisions, rather than deterministic, rules-based decision making.

Noodle.ai’s Enterprise AI Platform and suite of applications will allow SSAB Americas to utilize its sensor data and pair it with external data to anticipate and plan for key variables affecting business operations including asset uptime, product quality and production flow. By continuously learning over time, Noodle.ai’s applications identify patterns in complex combinations and production variations, predict costly product quality issues before they occur, and detect opportunities to ultimately recommend plant-wide optimizations 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, Noodle.ai founder and CEO. “Both Noodle.ai and SSAB look forward to further boosting SSAB’s efforts toward sustainability and increasing SSAB’s economic performance through the power of data.”

“We are excited to implement new digitalization technologies and to explore how the application of Enterprise AI can impact our performance and create a competitive advantage,” said Tom Toner, Vice President of Operations for SSAB Americas. “Our goal is to learn how we can increase efficiency and decrease any bottlenecks in our operations with this advanced technology.”