Unlock the knowledge hidden in your process, empowering R&D scientists, development engineers and operators alike.
Perceptive Engineering’s latest multivariate Analysis tools and rich visualisations deliver targeted translation of data into knowledge, leading to early fault detection and faster decision-making.
More Powerful. More Intuitive. More Helpful.
More Ways To Improve Your Process
Helping data scientists and process engineers to focus on delivering robust models to support process monitoring, predictive and prescriptive maintenance.
Rapid design and deployment of process monitoring tools
New Multivariate and Univariate visualisation charts and objects. Improved charts include new 2D score plots; predictions; contribution charts; T2/SPE; residuals and latent variable charts for both batch and continuous models.
Deploy any chart in a dashboard through the use of drag and drop.
Improved Event Identification with guided visualisation and Pareto charts.
Highlight warning and alarm limits, classify each point based on their position within those limits.
Code-free interactivity and drill down allows rapid deployment of intuitive dashboards, tailored to the end-user requirements.
Enhanced Batch functionality
Improved batch data processing workflows guide the user through data fusion, pre-processing and modelling activities.
Dedicated Batch Key Performance Indicator tool allows calculation of metrics and statistics across a batch or a defined batch phase. Highly configurable options to select subsets of samples for calculations.
Improved tools to manage and extract quality attributes from batch process data and static information such as raw-material properties, at line and offline samples.
Easy configuration of Golden Batch profiles displayed on trends and charts with secure storage within the modelset record.
Visit our YouTube channel to see aspects of the software in action: