At Arcus Analytica, we are developing the next generation of data analysis tools to tackle some of today's most challenging datasets. Based on our comprehensive and robust arc-length analytics framework, we are building tools to provide in-depth, context-rich analysis of datasets, simplify your workflow, and generate insights to drive your project forward.
At the core of our products is our arc-length analytics framework. Consisting of a novel combination of arc-length re-parameterization and signal registration, the arc-length analytics framework provides a general method to tackle a huge range of signals or responses with a single methodology, simplifying many existing workflows.
Our peer-reviewed methodology has been proven to work on datasets without a common sampling variable, responses that start or end at different positions, are highly variable and/or oscillatory, or are non-monotonic in one or more measurement axes. Since its publication, our arc-length analytics framework has seen wide adoption in both research and industrial settings.
Devon developed the arc-length analysis framework while completing his PhD at the University of Waterloo. His background includes experience in signal processing, material testing, and numerical modelling.
Duane Cronin is a Professor of Mechanical and Mechatronics Engineering at the University of Waterloo, with a unique and globally recognized program in computational injury biomechanics, supported by advanced material characterization and experimental testing.
Arcus Analytica is an innovative software, consulting and data analysis firm, enabling industry and researchers to rapidly achieve their data analysis objectives with certainty.
