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From Amazon S3 to ML modeling in Minutes

Connect your Amazon S3 to cnvrg.io and enable rapid ML development with preconfigured ETL, permissions, versioning and configurations

Flexible ML Platform

Flexible

Use any language, AI framework, and compute environment. Integrate and
 version any kind of data to reuse in any project, experiment, and/or notebook 

Interactive ML Platform

Interactive

Use any development environment like JupyterLab, RStudio, and more with pre-installed dependencies and version control

Unified ML Platform

Unified

One unified environment to manage, build and deploy your machine learning with all your favorite data science tools

Learn more about the Amazon S3 integration

Amazon Simple Storage Service is a service offered by AWS that provides object storage through a web service interface. Amazon S3 uses the same scalable storage infrastructure that Amazon.com uses to run its global e-commerce network.

Instantly build machine learning models

  • Instantly train models on your data using the AI library of advanced ML  components
  • Choose from dozens of ready made preprocessing scripts and training algorithms
  • Set up an end-to-end, production-ready, ML pipeline in minutes with your own data
ml pipeline
Data Access Layer

Data Access Layer

  • Manage all your team’s data sources in one centralized location
  • Easily change between data sources with simple CLI or UI connectivity
  • Control datasets with advanced access permission levels both by user and by compute
Data Access Layer

Data Version Control

  • Automatically version data of any size and with the ability to
    associate models to specific versions
  • Create metadata for each object to track, manage and store labels
data version control