Deploy AI with confidence
Deeploy helps you to stay in control of your ML models. Easily deploy your models on our responsible AI platform, without compromising on transparency, control and compliance.
Deeploy helps you to stay in control of your ML models. Easily deploy your models on our responsible AI platform, without compromising on transparency, control and compliance.
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Our product
Nowadays, transparency, explainability and security of AI models is more important than ever. Having a safe and secure environment to deploy your models enables you to continuously monitor your model performance with confidence and responsibility.
Having effective human oversight and the ability to control the risks of AI within our organization delivers clear insights and the possibility to train, monitor and provide feedback to our ML models. From Data Scientists to Customer Support has the ability to understand the model outcomes thanks to Deeploy's platform.
Ali el Hassouni
Head of Data, bunq
Since AI is integrated in multiple of our design and production processes, it is crucial that we can rely on a robust ML operations service. The deployment functionality of Deeploy enables our data scientists to quickly iterate on their productionized models. Moreover, the fact that we can always check the reasoning behind a certain prediction, allows our continuous improvement manager to give feedback on the AI system.
Marcel Artz
CIO, Vlisco
Deeploy has been an invaluable tool in Wunderflats’ development of its production ML infrastructure. The product has provided not only reliable and performant serving of our models but also transparency in regards to explainable ML, critical for aligning business stakeholders. We are excited to see the growth of this product in the coming months.
Alex Truesdale
ML Engineer, Wunderflats
With Deeploy it's very easy to put a model into production without that much knowledge of DevOps. The clear and simple interface is very user-friendly and requires little explanation. With a few simple clicks the model is deployed and an endpoint is available for making requests to the model. The reporting section with nice graphs are also useful and thanks to the explainers you can more easy understand the outcome of your models.
Mario Wester
CTO, Yource
How it started
Over the years, we experienced the importance of human involvement with Machine Learning. Only when machine learning systems are explainable and accountable, experts and consumers can provide feedback to these systems, overrule decisions when necessary and grow their trust. That’s why we created Deeploy.
Learn more about conversational XAI with our latest white paper: