Powerful, easy-to-use data interpretation and model performance ratings.

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!

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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.

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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.

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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.

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Objective Evaluation of Models and Digital Twins

ARCGen+ allows you to objectively rate how well your simulation, computational model, or digital twin compares to reality. Using objective metrics like CORA, ISO 18571, and the Biofidelity Ranking System (BioRank), ARCGen+ gives you the confidence to assess your models, even in the presence of experimental variability!

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

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