Deeploy creates software for Thoughtful Machine Learning Ops. With our software ML deployments are manageable, accountable and explainable by design.
Newsflash: Deeploy closes €1M funding round, led by Curiosity
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.
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.
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.
Ensuring human involvement in Machine Learning
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.