Machine learning wrapped in a familiar interface
Passive data accumulates rapidly. It's common to have hundreds of thousands of data points per participant. We preprocess the data using signal processing and machine learning techniques so that you can use familiar analyses like regression, correlation and principal components analysis.
We also provide exciting new techniques like convergent cross mapping that allows you to establish causality from passively-collected time-series data.
Using our content analysis tools you can analyze textual data like tweets and facebook posts using standard dictionaries, or easily define your own constructs.
And if you need access to the raw data to implement custom analyses that is also available.