Let Qwak simplify your AI/ML

Deploying AI applications to production is complex, but Qwak's end-to-end platform simplifies the process. Our streamlined workflows help you get your AI to production quickly, more efficiently, and at scale.


Bridge the gap between data science and engineering teams


Manage the entire feature lifecycle in the Qwak Feature Store


Build, train, deploy, monitor and automate your ML/AI models in one platform


Take control of your costs with our pay-as-you-go plan

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We run live demos once a month! Join one of our upcoming sessions and see Qwak in action.

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Qwak optimizes ML Model Production

“From our very first interaction, it was clear that Qwak understood our needs and requirements. Their platform enabled us to deploy a complex recommendations solution within a remarkably short timeframe. Moreover, Qwak is an exceptionally responsive partner, continually refining their solution.”
“We ditched our in-house platform for Qwak. I wish we had found them sooner.”
“Qwak streamlines AI development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”
“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.”
Happening (Superbet)
“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.”
Spot by NetApp
“Using Qwak allowed us to focus on creating value for customers and rather than spending valuable time on our infrastructure setup.”
“Our data science teams deliver end to end AI model services however building infrastructure is not our business focus and therefore Qwak were ideal for us”