Serve your models directly from Hasty’s infrastructure and run large-scale models in milliseconds with just a few lines of code.
Our competitors will ask you to make a decision. You can use a tool where you pay for them to host your model or a tool where you can export and host it yourself.
With Hasty, you can do both. We know that you don’t always have all the answers and have different needs throughout the process. While building your application, use our inference engine to integrate your model into your app. When you are ready to launch, export it or keep it in our environment.
Whatever works for you works for us.
Get your API-key, send your data, and receive predictions back from any model hosted in Hasty.
As with all API calls, we only charge you credits for predictions, and never for hosting your model.
When you use our inference engine, we save all data and inferences made so that you can go through and review how your model is performing on production data.
Find outliers, figure out what the model is struggling with, and get a better understanding for how your production data differs from your annotated data asset.
We all want to conform to best practice. In machine learning, that is having a data flywheel. Using our inference API, you can close the flywheel by sending images back for annotation - either through our interface our through our API.
“Before discovering Hasty, labeling images was labor intensive, time-consuming, less accurate, and progression through the groundwork to build our AI detection model was much more frustrating. Hasty’s approach of training the model while labeling with faster annotate-test cycles has saved Audere countless hours. The speed and ease of use have allowed us to accelerate our mission to improve global health in the world’s most underserved communities.”