We smartly recommend actions to perform on your dataset to amplify hidden signals within your raw data.
Get instant, automatic analysis of your data, a rich GUI and one-touch solutions make preparing your data easier than ever.
A catalog of actions supercharges your dataset; from cleaning, structuring, enriching, to engineering new features, so you can seamlessly convert between data types, filter, and reshape your dataset.
Automate your data preparation with powerful, repeatable data recipes that remember actions applied to your dataset.
Quickly generate features required by your models or re-calibrate when you have more training data for optimal predictive insight.
Save time and resources, get recommended the machine-learning algorithm best suited to your data with an automatic view of the models' performance prior to training.
Make the right model selection for your ML objectives, with respect to Training speed, prediction quality, and prediction speed.
Scores are predicted for every model template in our catalog dynamically, as every dataset presents a unique situation.
Compare selected model templates easily on a visual GUI, immediately train models with a simple click when satisfied with predicted performance.
The one-click deployment automatically turns on monitoring of your model. Data submitted to the model for prediction is automatically logged and checked continuously for drift.
You can perform one-off batch evaluation on new labeled data through the "/evaluation" API call to your model's endpoint
Monitor inputs going into your model, as well as prediction outputs generated by your model. Check drift metrics for different types of features individually, or for all inputs.
Our monitoring functions do not raise a false alarm! With each metric, a significance score is given to help you decide whether an investigation is warranted.