Unlock Private & Restricted Datasets with Devron.

Watch a recorded demo of Devron in a Jupyter Notebook. 

Devron is a federated data science platform that enables teams to build and train models on distributed, heterogeneous, and private data sources without the cost and risk of moving data.

As a result, you can unlock access to valuable, previously inaccessible datasets, allowing you to build more accurate, generalizable, and reliable models.

Demo Use Case:

TYPE: Privacy-preserving Model Building
INDUSTRY:   Telecommunications
OBJECTIVE:    Improve Customer Churn
BUSINESS VALUE:    Reduce Customer Churn
     Preserve Revenue
    Reduce Sales Expense


Devron On-Demand Demo

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

Unlock access to more data and discover trapped innovation
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.