Backprop makes it easy to deploy your Machine Learning models into a scalable, production-grade, API.
Getting your models ready for production is easy: just drag and drop a .zip, or use our library. In just a few minutes your model will be available to you via our API. We're also framework-agnostic, so whether you use PyTorch, Tensorflow, or SKLearn, you can train models however you prefer and still deploy through Backprop.
Backprop includes state-of-the-art models out of the box, ready to be used for a variety of tasks on text and images. We have models like
And more, with others in the pipeline.
We also have a library that makes it easy to finetune and upload models for your specific tasks.
There's no reason to pay for infrastructure that's sitting idle. As we operate on a serverless architecture, pricing is usage-based: you only get charged when your model is actually being used. And when usage is high, our API is highly scalable — since models run in an isolated environment, your users won't experience a slowdown.