DataModeler Key Features
Evolved Analytics DataModeler provides a complete and integrated workflow for industrial-strength data-driven modeling that guides the user through the path from data to actions.
DataModeler Testimonials
News, Releases, Events
Welcome to Evolved Analytics!
The mission of Evolved Analytics is to incorporate real world into nonlinear modeling. Our technology complements classical multi-variate data analysis and feature selection, statistical learning theory and statistical inference, design of experiments and classical non-linear regression.
We solve real-world problems targeted at data-driven understanding of complex, unknown, nonlinear systems involving tens to thousands of input dimensions. Our solutions focus on the development, maintenance and deployment of transparent, robust, and interpretable input-response models, design- space exploration and exploitation, and model-based outlier detection. We discover the most elusive relationships in input-response data.
Dealing with Data Deluge
... Lots of variables. Little time. Lots of pressure... -- What variables really matter? What does it mean? Are there outliers? What to do with correlated inputs? How much do I know about my problem? What exactly don't I know about the problem? How to change it? Can I trust my conclusions? —These questions are raised in almost any data-driven industrial project.
Solving industrial projects by making sense of the data and turning data into value is our speciality.
Our technology will be interesting for
- everyone who ever stared at a data spreadsheet;
- everyone seeking an efficient, robust, and effective empirical modeling workflow;
- everyone searching for a reliable variable selection methodology to reduce the dimensionality of the design space when correlated variables are present;
- everyone hunting for outliers in the data, because they may be precious nuggets of information...