Embrace the Potential of Generative AI

Build LLMs

Build or fine tune state of the art language models on your proprietary data, enhance model performance and create task specific LLMs.

Deploy at any scale

Easily deploy production ready language models for a multitude of use cases. Enable quick and scalable delivery of pre-built or custom language models.

LLM monitoring

Built-in monitoring and analytics to continuously monitor LLM behaviour in real-time for all production use cases.

Qwak optimizes ML Model Production

Ryan Rollings

Principal Machine Learning Engineer, Upside

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

Edward Zhou

Software Engineer, Notion

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

Idan Benaun

Director of ML and Data Science, OpenWeb

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

Shaked Zychlinksi

Head of Recommendations Research, Lightricks

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

Idan Schwartz

Head of Research, Spot by NetApp

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

Or Hiltch

VP Engineering, JLL

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

Jonathan Yaniv

Head of Data Science, Yotpo

“Our data science teams deliver end to end ML model services however building infrastructure is not our business focus and therefore Qwak were ideal for us”

Eyal Solnik

Head of Data, Lili

“With Qwak's intuitive MLOps 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.”