Case Study: Seagate achieves multi-million-dollar manufacturing savings with SymphonyAI Industrial Digital Manufacturing

Data intelligence Avoid digital exhaust—put your data on the balance sheet

Seagate, a global manufacturer of data storage and management solutions, faced the challenge of turning massive volumes of factory sensor and machine data into actionable insight. With so much data generated across its wafer factories and high-precision tools, the company needed a way to capture, contextualize, and use operational data for quality, efficiency, and decision-making. SymphonyAI provided the Industrial Digital Manufacturing Platform to help address this need.

Using SymphonyAI’s low-code platform, Seagate implemented machine vision for microscopic wafer inspection, automated defect classification, fault detection, and digital thread capabilities to connect runtime data across the manufacturing process. The result was a major improvement in visual inspection accuracy from 50% to more than 90%, along with multi-million-dollar savings from reduced inspection labor, scrap prevention, capital avoidance, and better maintenance planning. SymphonyAI helped Seagate operationalize AI-driven manufacturing intelligence across its factories.

Seagate

Sthitie Bom

Senior Director – Factory Controls, Anaytics, and Reporting