DataScience Platform Update Now Available Learn More
X

Put more work into production.

Deploy and manage models, from prototype to production.

predictive-model-ouputs
deploy-data-models

Deploy Instantly

Run your existing models as APIs or scheduled jobs. No black boxes.

data-infrastructure

Scale

Rely on enterprise-grade infrastructure to confidently deploy your work.

model-management

Manage

Manage your models’ lifecycles by tracking scoring, output, and drift.

APIs

 

Deploy Python, R, or Spark code behind a REST API to make it instantly available for integration with real-time applications or dashboards.

deploy-data-models-behind-apis

Scheduled Jobs

 

Run code on a schedule to automate data science processes like data cleaning and model retraining.

scheduled-code-running

Model Monitoring

 

Measure model performance and its impact on your business with data from API calls, training, and cross validation.

model-training-cross-validation

Model Management

Test multiple models at once, promote new models into production, and continuously iterate over time.

model-versioning

Take the next step.

Request Demo