Case Studies

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

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

Allegro’s solution undoubtedly propelled us forward in tracking, managing and documenting our research and delivering our algorithms

“[Data scientists] now had, in Allegro Trains, 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”

“Allegro Trains just feels natural. Quietly and intuitively working in the background, we can focus on empowering surgeons, not wrestling with the steps to get there.”

“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.”

“The most fundamental key to success is building an automated, high-quality scalable data pipeline…there is currently no comparable commercial solution to Allegro Trains out there.”

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