11 ClearML Testimonials

“We’ve leapt up from thousands of data sets to millions without needing to add to our staff. It doesn’t get any more cost-effective than that.”

“For a company whose key value proposition to its customers is the quality of its AI detection algorithms at a competitive price point, the most fundamental key to success is building an automated, high-quality scalable data pipeline. ClearML catapulted us in what we have been able to achieve in both the time and resourc-es needed. There is currently no comparable commercial solu-tion to ClearML out there.”

“Talking about an automatic DevOps. First time you use ClearML it seems too good to be true, but it delivers on its promise and does what it says.”

"To be a perfectionist about this complex process is timeconsuming work, and human error inevitably comes into play. With ClearML, we’ve eliminated both these weak points."

“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.”

“This enables reusing the artifacts for new experiments, a practice known as warm-start training. ClearML easily allows our AI engineers to define a model checkpoint from which an experiment can be continued, by downloading it and loading automagically.”

“We wanted something that was plug and play. And then, one day, we found ClearML, which does everything we were looking for.”

“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 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.”

“If I had to sum it up. I’d have to say that, far from dictating new processes and changing the workflows that worked for us, ClearML just feels natural. Quietly and intuitively working in the background, we can focus on empowering surgeons, not wrestling with the steps to get there.”

“Managing ML Automation & GPU resources at scale - ClearML solved our GPU compute management problem thanks to resource allocation, automation frameworks, and much more.”