Innovative Analytical Solutions for Today's Challenging Datasets
Understand Your Data Without Compromise
From automotive to aerospace, medical to materials, today's datasets consist not of isolated numbers but large sequences of values that flow from point to point. Where valuable insights are buried not just in the numbers themselves, but in patterns, trends and shapes, however, traditional analysis techniques often slow the pace of innovation with ill-suited and haphazard tools.
Arc-Length Analytics Framework
Our peer-reviewed, robust and comprehensive arc-length analytic framework has bene proven effective on a wide variety of complex datasets.
Next-Generation Data Analysis
Our signal registration techniques enable feature-based, shape-aware analysis, regardless of the alignment and variability of the input data.
ARCGen+ is an all-in-one solution to objectively rate the performance of numerical models using contemporary metrics, and integrating the novel statistical corridor techniques of ARCGen. Metrics include CORA, ISO 18571 and BioRank. [Full release coming soon]
A recently published methodology to enable statistical comparison between sets of continuous data, highlighting areas of significance. The method utilizes an innovative approach integrating Statistical Parametric Mapping and Arc-Length Re-Parameterization.
ARCGen: An objective methodology to calculate an average response and characterize variability for continuous data signals in two dimensions. Based on a novel arc-length reparametrization process, integrated and adapted to analyze many classes of data (monotonic, oscillatory, hysteretic).
