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Industry-leading AI OS for Machine Learning

Manage, build and automate the entire ML lifecycle from research to production with one unified solution

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Unified control plane for enterprise AI

cnvrg.io delivers an AI OS built to actualize the AI-driven enterprise at scale. cnvrg.io is a compute-agnostic MLOps platform that offers a unified control plane to orchestrate all AI jobs and manage data science workflows at scale. Built by data scientists, for data scientists, cnvrg.io is the only solution that provides a code-first platform to manage, build and automate large-scale models in production. Built on Kubernetes, cnvrg.io is container based and integrates easily into existing IT and data science workflows.

cnvrg-control-pane

MANAGE

Organize data science from research to production

  • End-to-end
    Manage the full data science process all the way from business understanding to deployment
  • Standardize
    Make your data science scalable with standardized workflows instead of closed silos
  • Collaborate
    Unify data science teams with a clear and collaborative management environment
Organize data science from research to production
Store, manage and track models and experiments

TRACK DATA SCIENCE

Store, manage and track models and experiments

  • Real-time visualization
    Visually track models as they run with automatic charts, graphs and more, and easily share with your team
  • Model repository
    Store models and meta-data, including parameters, code version, metrics and artifacts
  • 100% reproducible
    Track changes and automatically record code and parameters for easily reproducible data science
Store, manage and track models and experiments

DEPLOY

Instantly deploy AI models to production

  • Production ready
    Deploy your models at hyperspeed with autoscale and advanced built in monitoring capabilities
  • Model health alert
    Track models in real time and receive alerts when model is in poor health
  • Model command
    Retain control of your model from research to deployment without contacting IT
Instantly deploy AI models to production
Build production ready machine learning pipelines in a few clicks

AUTOMATE WITH FLOWS

Build production ready machine learning pipelines in a few clicks

  • Drag & drop 
    Build ML pipelines with beautiful and easy to understand visuals
  • Rapid experimentation
    Automatically optimize to your data with built in hyperparameter search capabilities
  • Share & re-use
    Create pipelines and share with your organization for easy reuse of algorithms & recipes
Build production ready machine learning pipelines in a few clicks

DATA REPOSITORY

Store and manage your machine learning datasets

  • Easy access 
    Access all of your teams data in one central hub
  • Support all data types
    Import data in any format and integrate it into any experiment or analysis session
  • Machine learning ready
    Manage datasets with tagging, automated versioning and querying capabilities
Store and manage your machine learning datasets
MLOps Dashboard

RESOURCE MANAGEMENT

Manage your AI infrastructure stack in one place

  • Visibility & Control
    Maximize server utilization across all ML runs with a 360-view of your entire AI infrastructure stack by project, workload, container and run
  • Hybrid Cloud Utilization
    Increase Multi-cloud/Hybrid-cloud and on-premise utilization with extensive resource management and cluster orchestration
  • Dynamic Orchestration
    Control and allocate resources in real time container and cloud-native architecture that allows self-service of AI workloads and meta scheduling of jobs in a single click
MLOps Dashboard