Stiperstone Analytics combines chemical engineering expertise, operational data, and tacit process knowledge to solve real-world industrial problems.
We help organisations use their data to drive measurable performance improvement, turning plant and process understanding into business impact.
Our approach blends hands-on engineering insight with advanced analytics and data integration for sustainable improvements in operations, reliability, and energy consumption.
Why Stiperstone Analytics?
Industrial and chemical engineering domain knowledge
We engineer reliable, secure data capture from control systems and IIoT into historians, creating the backbone for analytics and transformation.
Data Integration Layer
We integrate time-series and business data to build unified, contextualised data models that logically group and prepare data for repeatable and scalable analytics.
Data Analytics Layer
We enable advanced analytics for performance, reliability, and optimisation using modern platforms and engineering know-how.
Data Visualisation Layer
We design clear, intuitive views of plant and enterprise performance, connecting insight to action and enhancing data driven workflows.