Which problems do we solve?

Manageable ML in production for every team

Growing data teams work together on multiple models in different versions connected to multiple clouds and services. Deeploy offers an adaptive way to collaborate on these models in different environments and let users deploy their models on a unified platform.

Accountable and reproducible decisions

ML in production is an ever growing part of the final decision making. That’s why - just like every decision made by humans - a decision made by a model has to be traceable and accountable, such that people can verify and reproduce the outcomes.

Explainable and transparent for everyone

ML models become more complicated since new models are built on the shoulders of existing ones. ML engineers, data scientists, content experts and business people need to understand the way of working of a model in order to keep control. All in their own way and with their own focus.