« BACK

Request Access

Enter your information to be added to Datagran's 3.0 waitlist.

Fields marked with an asterisk (*) are required.
I accept Datagran's Terms of Service and Privacy Policy
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Build ML Pipelines

The most advanced visual editor ever built to quickly put into production Machine Learning pipelines.

request access

Datagran ML Pipelines are interconnected sources, operators and actions that help you process data to ACHIEVE a specific goal.

What are Operators?
Operators are functions embedded in Datagran’s platform that help you interact and process data.

For example, our deduplicate operator allows you to eliminate duplicated data based on a condition.

What are Action Operators?
A specific type of operator that communicates with the outer world. In addition to some standard destinations, we also created “Apps” embedded in our system that guarantee the best user experience within our platform without having to go to specific tools outside our environment.

available operators

Algorithms

01

Deduplicate

05

Custom SQL

02

JOIN

04

rfm

03

How to take advantage of Pipelines?

read full report

How Rappi reduced Customer Acquistion and Churm thanks to Datagran's Pipelines

Rappi is one of the very few Unicorn companies in Latin America. In 2018 it made 11,000 deliveries per hour, and it now serves more than 4 countries and 11 cities. Such growth, demands for the organization to move fast. That is why they teamed up with Datagran: to find a way to put Machine Learning predictions into production fast in order to reduce Customer Acquisition and Churn. Read Case Study >

keep reading