Alchemite™ makes data-driven approaches to the design of complex systems quick, easy and effective
Our revolutionary technology uses deep neural networks at its core with the following advantages:
Easily upload any type of numerical data
Dataset size up to millions of rows and 20,000 columns
Run virtual experiments
Predict and validate outcomes
Impute sparse data sets
Auto-generate best model
Extrapolate correlations between all parameters
Virtual experiments extract valuable information about correlations between parameters, saving time and money by eliminating research and development costs
Historical experimental data provides a valuable resource for businesses who want to be at the forefront of innovation and optimise future development. This data is often overlooked and stored in inconsistent formats.
The Alchemite™ Engine allows for the simple aggregation of csv based data that can be both sparse and noisy, typical of experimental data, to generate deep learning models quickly and easily delivering predictive models that learn from all available data.
Our latest technology allows businesses to target specific parameters to optimise physical, economic or environmental factors. Our predictive model outputs include validation metrics and correct identification of outliers and errors with attached confidence levels.