70% reduction in fault alerts with automated preventive maintenance

Imagine a system that filters out 70% of irrelevant noise from your machinery's fault alerts. How much more efficient could your operations be with maintenance teams focussing solely on alerts that matter?

A leader in industrial automation wanted to provide timely maintenance for their hydroforming presses to avoid costly downtime. With data streaming from over 800 sensors per machine, identifying the real signals of failure amidst the noise was an overwhelming challenge.

Sigmoid built a machine learning solution to automatically analyze sensor data and build a pattern library distinguishing common failures from rare, emerging issues. By understanding the equipment's behavior, the system could predict risk events, generate prioritized alerts, and reduce unscheduled downtime.

Are you keen to monitor your machinery's health with razor-sharp precision? Explore the complete case study here →

AI’s eagle-eyed inspection

Manufacturing companies commonly encounter the challenge - poor product quality. ?On average, it eats away a staggering 20% of total sales! Effective quality control, especially the ability to detect surface defects, is paramount to profitability.

Traditional manual inspection methods, relying on human perception and judgment, have inherent drawbacks. These include time-consuming processes, subjectivity leading to inconsistencies, and vulnerability to human error. However, the tides are turning with advancements in Artificial Intelligence (AI) and image recognition models. These innovations are automating surface defect detection with superior accuracy and efficiency.

Read our in-depth blog post to discover how Sigmoid's AI-powered solution can revolutionize your quality control process. Click here!

Disrupting downtime

Downtime is a costly liability in industrial manufacturing. But what if you could improve your chances of preventing such instances before they happen?

A leading manufacturer of industrial tools achieved just that by teaming up with Sigmoid. With thousands of machines across factories, they were sitting on a goldmine of IoT data – but their outdated systems couldn't keep up. That's when Sigmoid stepped in, transforming their data infrastructure into a high-performance analytics powerhouse.

By optimizing ETL pipelines and leveraging query acceleration, we delivered a 10X boost in dashboard performance. Watch now!

Data fact: With Sigmoid's solution, our client cut time-to-market for new monitoring features by 2X while minimizing deployment costs.

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