Engage with Machine Learning

Deploy, Monitor and Explain Machine Learning models.

Why Deeploy?

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Fast, reliable controlled and uniform way to deploy Machine Learning models that suits every workflow.  Allowing model agnostic engagement.

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Monitoring of predictions, decisions and interaction leads to better understanding and early warnings when a model underperforms or fails to deliver.

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Predictions come with explainers, allowing people to interact with and interpret models. Furthermore an audit trail is constructed to asses correctness.

How does it work?


Deploy Machine Learning models in 5 intuitive steps:

  • Add your repositories with your preferred Git manager
  • Use branches and commits to select the version to deploy
  • Select the model framework
  • Deeploy checks and builds the deployment
  • Test your new deployment

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Monitor Machine Learning models with confidence:

  • Real-time monitoring and alerting
  • Interactive predicition log analytics
  • Interactive dashboards

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Machine Learning models can't go without explainers:

  • Explanations can be added to API responses
  • Make explanations available in different levels of abstractions
  • Make explanations available in intuitive visualisations

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The team

Photo of Tim Kleinloog

Tim Kleinloog

Technical Director / Co-Founder

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Bastiaan van de Rakt

Commercial Director / Co-Founder

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Bob van de Helm

Software Engineer

Photo of Lars Suanet

Lars Suanet

Software Engineer

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Koen van Marrewijk

Software Engineer

Photo of Maarten Stolk

Maarten Stolk


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Nick Jetten


Request a demo

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