Modelbit is a platform that enables data scientists to deploy their machine learning models directly from Jupyter notebooks. It offers built-in features such as version control, continuous integration and deployment (CI/CD), logging, containerization, pipelines, and feature stores. The platform also allows users to manage their deployments in production and collaborate on datasets with their team. By running a single command, data scientists can deploy their models and automatically obtain REST and Snowflake inference endpoints. Modelbit aims to be the fastest and most convenient way for data scientists to deploy their machine learning models.