Understand Why Your Plant Performs the Way It Does.
Manufacturing intelligence built on operational context.
Every manufacturing outcome has a history. Material consumption, equipment performance, process conditions, and operating decisions all contribute to the results your plant produces.
Relevant Stats connects those relationships through computational plant models, helping manufacturers understand the factors driving performance, identify opportunities for improvement, and make better operating decisions.
Our Mission:
Our mission is to give manufacturers a deeper understanding of their operations by connecting production data to the physical processes and operating conditions behind it.
We build specialized manufacturing intelligence systems that transform disconnected information into meaningful operational context. By combining applied mathematics, statistical analysis, machine learning, and decades of manufacturing expertise, we help organizations explain process variation, improve material efficiency, and make more informed decisions.
We believe the greatest value of manufacturing data isn't simply knowing what happened. It's understanding why it happened and what can be done differently.
Why Relevant Stats?
Relevant Stats was founded after years of seeing statistical methods applied to manufacturing operations without sufficient consideration of the processes behind the numbers.
A calculation can be mathematically correct and still lead to the wrong operating decision.
We founded Relevant Stats on a straightforward principle: meaningful analysis requires meaningful context. Understanding how materials, equipment, process conditions, and operating decisions interact is essential to understanding manufacturing performance.
That principle continues to guide our work today, from industrial data integration and statistical process analysis to computational plant models and specialized artificial intelligence.