ML Platform Comparison

“JFrog ML streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”

“We ditched our in-house platform for JFrog ML. I wish we had found them sooner.”

“The JFrog ML platform enabled us to deploy a complex recommendations solution within a remarkably short timeframe. JFrog ML is an exceptionally responsive partner, continually refining their solution.”

“People ask me how I managed to deploy so many models while onboarding a new team within a year. My answer is: JFrog ML.”

“With JFrog ML, our AI team efficiently manages and deploys various models, both batch and real-time. The addition of an observability and Vector DB layer has been a game-changer, allowing us to confidently bring 10 models into production. JFrog ML's robust and streamlined approach has significantly enhanced our operational efficiency.”

“Before JFrog ML, delivering a new AI model took weeks... Now the research team can work independently and deliver while keeping the engineering and product teams happy.”

“Using JFrog ML allowed us to focus on creating value for customers rather than spending valuable time on our infrastructure setup.”

“Our data science teams deliver end-to-end AI model services. Building infrastructure, however, is not our business focus, making JFrog ML ideal for our needs.”

“With JFrog ML's intuitive AI Infra platform and AWS, we achieve operational efficiency and smarter personalized experiences. We get to make data-driven decisions impacting the customers and driving the company metrics.”