Predisys is a Manufacturing Intelligence Platform.
Manufacturing Intelligence connects statistical meaning, process context, and operational knowledge across the enterprise.
Manufacturing organizations generate information across quality, operations, engineering, supplier management, field performance, and production activities. Predisys helps connect this information through a common Manufacturing Intelligence foundation that supports better visibility, investigation, analysis, and decision-making across the organization.
Real-time SPC is a core capability, and Supplier Quality Intelligence is a top-selling application. Both are part of a broader Manufacturing Intelligence environment that supports manufacturing, quality, supplier quality, engineering, design, field quality, management, and AI initiatives.
Built Around Real Manufacturing Processes
Our roots are in Statistical Process Control (SPC) and Manufacturing Analytics.
Over the years, our work has expanded across quality, operations, engineering, supplier management, investigations, and process improvement, reflecting the increasingly connected nature of modern manufacturing.
This work has included manufacturing environments producing millions of parts, multi-plant operations, highly regulated industries, and global supply networks.
Different manufacturing processes create different questions.
The information needed to understand variation in an injection molding process may be very different from the information needed in electronics manufacturing, medical device production, or high-volume assembly operations.
That experience has helped shape process-specific applications built around the realities of individual manufacturing environments and the information needed to understand them.
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Injection Molding
Process parameters and variation
Electronics Manufacturing
Component and assembly quality
Medical Devices
Traceability and process consistency
High-Volume Assembly
Production performance and quality
The Context Behind Manufacturing Decisions
Manufacturers generate large amounts of information every day.
Measurements, test results, process data, supplier records, quality information, investigations, and production history all contribute to understanding how products and processes behave.
Much of our work has focused on helping manufacturers organize and use that information to support quality, operations, engineering, and continuous improvement.
Understanding manufacturing information requires more than access to the data itself. Context, process knowledge, and an understanding of how manufacturing operates are often as important as the information being analyzed.
Our approach has been shaped by people with manufacturing and quality experience. The relationships surrounding the data, the questions being asked, and the decisions that follow all influence how information is organized and used.
Manufacturing Intelligence
Over the years, we've seen that understanding manufacturing requires more than collecting data.
Manufacturers build knowledge through process history, investigations, engineering experience, operational decisions, supplier relationships, and continuous improvement efforts.
We describe this accumulated knowledge as Manufacturing Intelligence.
Manufacturing Intelligence preserves contextualized statistical history and keeps it connected to the underlying process evidence.
As manufacturing systems and AI technologies continue to evolve, we believe the ability to organize, preserve, and use this knowledge will become increasingly important.
Building on Our Experience
Manufacturing continues to evolve, bringing new opportunities to use the knowledge manufacturers have accumulated across quality, operations, engineering, and production.
Predisys continues to focus on helping manufacturers understand their processes, learn from experience, and make better use of the information already present within their organizations.
