Engage with Machine Learning

Deploy, Monitor and Explain Machine Learning models.

Why Deeploy?

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Deploy

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

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Ops

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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Explain

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

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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Ops

Monitor Machine Learning models with confidence:

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

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Explain

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

Photo of Bastiaan van de Rakt

Bastiaan van de Rakt

Commercial Director / Co-Founder

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Bob van de Helm

Software Engineer

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Lars Suanet

Software Engineer

Photo of Koen van Marrewijk

Koen van Marrewijk

Software Engineer

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Maarten Stolk

Co-Founder

Photo of Nick Jetten

Nick Jetten

Co-Founder

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