Experiment Faster with Confidence

Deploy models when you want.  Release features when you're ready.

Eliminate risk and deliver value through continuous experiments with your machine learning pipelines.

Control your users' experience through custom targeting rules, shadow mode, and percentage-based rollouts.

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Stars   Forks

Every Framework, Every Hardware, Every Cloud

Data Science Teams  

Central Visibility and Control

One dashboard to manage the lifecyle of your models from local development to live production.  Train and deploy your models when you want.  

Deploy Models When You Want

Empower your data science team to collaborate effectively, maintain stability, and delivery models faster. 

Product Teams  

Collect Feedback Faster

Use custom targeting rules, shadow mode, and percentage-based rollouts to safely test features in live production and collect valuable feedback.

Release Features When You're Ready

Product teams independently release features when they are ready.  Instantly rollback any feature with the click of a button.

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Square PipelineAI

Hotels.com PipelineAI

U.S. Department of Defense PipelineAI US Dept of Defense

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Huawei and PipelineAI

Halliburton and PipelineAI

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PipelineAI In The News

April 2019
PipelineAI Launches KubeFlow Inside Initiative



January 2019
PipelineAI Hosts Continuous AI Workshop at Deep Learning Summit in San Francisco



December 2018
PipelineAI Joins the Cloud Native Computing Foundation (CNCF)



August 2018
PipelineAI Announces Full KubeFlow & MLFlow Compatibility



May 2018
PipelineAI Launches Multi-Cloud Support @ DockerCon SF



October 2017
PipelineAI Wins O'Reilly Media AI Startup Competition

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