Access More Data & Build Better Models with Devron.

Watch a recorded demo to see Devron in action.

Devron is a federated data science platform that enables teams to build and train models on distributed, heterogeneous, and private data where it resides.

In this demo, we'll walk you through the model-building process and show you how Devron can be used to train a model across vertically split (different schema) datasets without moving or exposing the data. 

We will follow an example scenario where we assume the role of a marketing team from a retail bank looking to better segment their customers for new and cross-selling loan opportunities

Use Case Summary:

INDUSTRY:   Banking
OBJECTIVE:   Customer Segmentation
BUSINESS VALUE:    Increase Revenue
     Expand Loan Base
     Reduce Customer Acquisition Costs
    Personalize Services & Offers


Watch On-Demand Customer Segmentation Demo of Devron

By leaving your data where it is and never exposing the underlying information, Devron can help you:

Unlock access to valuable, previously inaccessible datasets (including securely and privately sharing data between organizations)
Analyze sensitive data without the risk of privacy leakage or lineage issues
Boost model accuracy, generalizability, and reliability
Accelerate time to insight by drastically reducing data engineering overhead


Want to learn more? Fill out the form above to see Devron in action.