Deploy
Fast, reliable controlled and uniform way to deploy Machine Learning models that suits every workflow. Allowing model agnostic engagement.
Why Deeploy?
Ops
Monitoring of predictions, decisions and interaction leads to better understanding and early warnings when a model underperforms or fails to deliver.
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
Ops
Monitor Machine Learning models with confidence:
- Real-time monitoring and alerting
- Interactive predicition log analytics
- Interactive dashboards
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
The team
Tim Kleinloog
Technical Director / Co-Founder
Bastiaan van de Rakt
Commercial Director / Co-Founder
Bob van de Helm
Software Engineer
Lars Suanet
Software Engineer
Koen van Marrewijk
Software Engineer
Maarten Stolk
Co-Founder
Nick Jetten
Co-Founder