What is possible ?
Learn from measured data to create custom predictive models, AI twins of your business that you can leverage to operate better !
Model the relationship between input and output features of your data.
Map your data into customizable categories and learn how to seperate them.
Select and automatically detect patterns in your data
Learn a compressed representation of your data and generate an encoding and decoding pipeline.
Efficient machine learning process to make predictions a success
Follow the guide through the learning pipelines towards the creation of dedciated AIs. Iterate fast thanks to the step-by-step stagged mechanisms of AI Studio.
Discover a set of tools and mechanisms to make machine-learning an easy and efficient journey.
Import time series, from several CSVs, with different measuring paces. Assemble them, align series where needed, configure the sampling, move on to next step.
Save time with the staged approach of AI Studio, explore a multitude of learning configurations without going through preparation steps each time.
Data cleaning & sampling
Check your [time-]series, specify acceptable ranges, shift in time, define a strategy for null values handling, configure the sampling rate for datasets preparation.
Streaming 4 scaling
Benefit from GreyCat's streaming mechanisms to scale your approaches and learn on datasets that would not fit in memory.
Let GreyCat generate various neural network configurations and run them. Fix a time limit for the learning and exploration, come back and compare the models accuracies.