Let Qwak simplify your LLM workflows

Get the freedom to build, deploy and monitor LLM applications with a single platform. Easily manage prompts, trace requests, deploy AI workflows and use any hosted or API-based AI models.


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

Book a Demo

Schedule a 1:1 call with one of our LLM & AI experts

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.”
“Our AI and Machine Learning pipelines are fundamentally built on Qwak's comprehensive platform, which has been a game-changer in our journey from the initial ideation to the full-scale production of our banking chatbot 'Ella 2.0'. ”
“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.”