Did you know that 90% of code of a machine-learning project is deployment code?

Where the training ends and the deployment starts, we have you covered! We use state of the art Docker and Kubernetes technology to serve our model inference results to users as quickly as possible. We actively analyze millions of recipes in dozens of languages that our wonderful users provide. And even though we can command a fleet of powerful computing workers, we can also deploy on mobile when needed.