Qwak streamlines the entire ML development lifecycle with a single platform.
Easily build ML projects at any scale using a centralized platform that contains everything you need to build ML.
The world’s best machine learning teams have chosen Qwak
Time to move forward from endless integrations
Old ML architecture
yellow line over ML architecture
“Qwak streamlines ML development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”
Software Engineer, Notion
One platform that allows you to focus on what matters
Qwak integrates with all stagesof the model lifecycle
HuggingFace
Snowflake
Kafka
BigQuery
Jfrog
Qwak optimizes ML models in production
Ryan Rollings
Principal Machine Learning Engineer
“We ditched our in-house ML platform for Qwak. I wish we had found them sooner.”
Edward Zhou
Software Engineer
“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
“People ask me how I managed to deploy so many models while onboarding a new team within a year. My answer is: Qwak.”
Filip Gvardijan
Data Science Manager
“With Qwak, our ML 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.”
Idan Schwartz
Head of Research
“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.”