ClearML is the missing DevOps piece in your machine learning software stack. ClearML gives data scientists tools to manage experiments, orchestrate workloads, and manage data, all in a simple open-source tool that integrates with whatever tool chain a team is using already.
“ClearML allows us to quickly search for optimal data to improve our models’ robustness, label it, get it through the training pipeline, perform detailed analysis with comparisons to our production state, and then stage deployment – all within a day or two.”
“Our data scientists love ClearML for the productivity gains and quality results they get. Our entire DevOps team loves it because it allows the data scientists to be self-sufficient and not bother us with ever changing requests.”
“ClearML creates an unexpected ‘calming’ feeling because all the data is just right there. I can instantly filter, search for and archive results, and organize experiments using the Leaderboard. For instance, there was a day I needed to retrieve critical data from a previous experiment, but I simply didn’t remember its name. But I did remember the results, so I searched for that, and found exactly what I needed. It sounds simple, but it saved me hours of work. And this kind of thing now happens all the time. Those saved hours add up quickly.”
Read ClearML Reviews, Testimonials & Customer References from 11 real ClearML customers.
Browse ClearML Case Studies, Customer Success Stories, & Customer References from 9 businesses that use ClearML.