Archives: Case studies

deep mirror case study

DeepMirror Case Study

“Before ClearML we could not go back in time to past experiments and retrieve metrics or data. Now all of our internal experiments and data are tracked, helping us become more efficient and reliable, without compromising on security or features.”

improved data input graph

Iodine Case Study

“We were able to try it out on the Open Source server and do our own personal projects and we liked it. We just put a couple of lines of code at the beginning of our script…”

ClearML UI

Photomath Case Study

“We’ve never had to ask for help with the UI, which means ClearML does its job and it does it well. It solves a very real problem as painlessly as possible. In fact, it gives us everything we need and allows us to work the way we want.”

Daupler UI Image

Daupler Case Study

“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.”

AgroScout Case Study

“The software itself must handle immense quantities of metadata … ClearML was designed for precisely this type of scalability challenge.”

Forsight

“The Forsight team was looking for a “master juggler” ML Ops solution to handle the complexity of their daily experiment processes.”

Trigo Case Study

“[Data scientists] now had, in ClearML, a comprehensive collection of features that made their ML processes as efficient as those they were familiar with from their experience in traditional software development”

Theator Case Study

“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.”

Constru Case Study

“We can do almost twice as much without hiring additional staff or dedicated DevOps…we’re projecting a savings of about $1.3M over the next 12 months due to these improvements.”