BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end.

We built BudgetML because it’s hard to find a simple way to get a model in production fast and cheaply.

Cloud functions are limited in memory and cost a lot at scale.

Kubernetes clusters are overkill for one single model.

Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers etc., that are simply not within the scope of a typical data scientist.