Tools for Scalable Deployments and Experiment Tracking in
Data Science Machine Learning Artificial Intelligence Data Science Machine Learning Artificial Intelligence

Datmo tools help power up your existing model workflow.
A new standard built by engineers, for engineers.

Datmo Open Source

Our open source CLI and Python SDK for easily managing tasks and tracking model versions.
All from within your existing workflow.

graph showing time to deployment for serverless, cpu, and gpu
collaborate on model versions with peers

Unify your model components with snapshots

Snapshots are like commits for AI. Train models and effortlessly save the state of your environment, configuration, stats, files, and code, all in one command.


share knowledge of models with your peers

Streamline your model building cycle

Train models with any language, framework, or algorithm. View and compare the results in one place.


See it in action!


Datmo Product

The true end-to-end solution for model tracking, deployment, and management.
Any cloud, framework, or deployment type.

graph showing time to deployment for serverless, cpu, and gpu



collaborate on model versions with peers

One-command model deployments

Go from model snapshots to deployments in minutes. Enable load balancers, queues, and gateways, and auth at will.



share knowledge of models with your peers

Manage your organization's production models

View model metrics, costs, and service health across all of your infrastructure in Datmo's dashboards.


Learn more!

Partners

scikit-learn, keras, tensorflow, and any other framework. Amazon web services, google cloud form, microsoft azure, and any server or cloud

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