Harness powerful machine learning for training and deploying predictive models
Flow accelerates the deployment of machine learning models such as:
Workflows connect to and collect required data. Training models on data is seamless through the Flow IDE.
Connect to data from hundreds of sources. Train models on data irrespective of source, structure or format.
Flows powerful expression engine allows you to create new features for better predictive capability. Create the data you need to maximize performance.
Flows configure-not-code framework allows you to train and deploy models without a line of code.
Harness Flows extensive functionality to analyze model performance. Evaluate trained models for real-time decisions and classifications.
Flows hybrid cloud architecture allows models to be accessed from anywhere. Flow cloud computing can distribute data and machine learning tasks.
Models are seamlessly deployed to the cloud. Tap into models through Flow or via web service to make predictive decisions.
Cloud storage for models provides automatic persistance and ease of deployment.
Flow predictive models can be called via web service. Connect external applications to trained machine learning models.
Trained models are used to predict, classify and drive business decisions.
Flow machine learning can automatically cluster and segment data.
Embed models in workflows to create intelligent decision structures and automations.
Embed trained models and decision structures into workflows to create intelligent logic.
Flows can evaluate trained models to drive advanced decision structures and trigger optimal transactions in real-time.
Try Flow free for 30 days. No credit card required. Get Started With Flow!