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“Qwak 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 Qwak. I wish we had found them sooner.”

“The Qwak platform enabled us to deploy a complex recommendations solution within a remarkably short timeframe. Qwak 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: Qwak.”

“With Qwak, 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. Qwak's robust and streamlined approach has significantly enhanced our operational efficiency.”

“Before Qwak, 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 Qwak 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 Qwak ideal for our needs.”

“With Qwak'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.”

“With Qwak we were able to improve our AI delivery dramatically.”

“From the get go, it was clear that Qwak understood our needs and requirements. The simplicity of the implementation was impressive.”

“We had the data and we solved the problem. Qwak allowed our data science teams to deliver the models into production with ease and efficiency”

“Qwak helped us to make a paradigm shift to our data science operations. We now deliver new models quickly and efficiently and with much less friction along the process.”