Free-to-use MATLAB and Python Toolboxes to perform multivariate assessment of average response and variability of continuous datasets.

Works on All Signals and Responses

Our arc-length analytics framework has been proven effective on all types of continuous data. Datasets without a common sampling axes, that terminate at different points, or which are non-monotonic in one or more axes can all be handled with one tool!

Download Now!

Arc-length Re-parameterization

Arc-length Re-parameterization is the cornerstone of the arc-length analytics Framework. This technique lets our products analyze your signals and responses while maintaining the context of the inputted data.

Download Now!

Signal Registration

Our signal registration techniques enable feature-based, shape-aware analysis, regardless of the alignment and variability of the input data. Align shared features across multiple signals or responses for detailed multi-variate analytics without changing the shape or context of the original data.

Download Now!

Multi-Variate Corridor Calculation

Powered by our arc-length analytics framework, ARCGen enables robust and consistent data reduction. Computed averages and corridors are feature-based, capturing variability in multiple axes simultaneously to help you truly understand your dataset. Averages and corridors can be used for visualization or imported into tools to assess the performance of models or digital twins.

Download Now!

Arcus Analytica is an innovative software, consulting and data analysis firm, enabling industry and researchers to rapidly achieve their data analysis objectives with certainty.

Popular Links
About Us Contact Us
Our Products
ARCGen+ ARCMap ARCGen ARCSuite (Coming Soon)
© Arcus Analytica, All Right Reserved. Designed By Cronin Coding Solutions