No-code often means simplified UIs giving you mediocre results. With Hasty, you can still pick your architecture and change every parameter - we take care of ML Ops for you
We all know that you need two things to get a production-ready model. Good data and plenty of experimentation to find the suitable model for your use case. In Hasty, you can work on both. Finding edge-cases that your model can’t handle? Annotate and fix it in minutes. Not getting the AI assistance you were expecting? Train your own model and swap out our default ones for even better assistance.
With Hasty, you can do data-centric development from the first annotation to a production-ready model in one tool. No more integrations. No more moving data from one environment to another. We make it simple for you to build advanced applications.
Most ML engineers spend significant time building integrations, moving data between different tools, and keep track of local experiments in spreadsheets. With Hasty, you get everything you need in a single application.
Train experiments, compare results, parameters, and metrics, and export production-ready models - all in one interface.
In our Model Playground, you can use several SOTA architectures for whatever your problem is. With us handling the time-intensive task of ML Ops, you can also be flexible. Not sure what architecture or parameter you want to try? Try them all and see what works best.
Getting you multiple choices allows you to experiment with unparalleled speed and enables you to find answers to the questions you have faster than ever before.
We believe that you know your use-case best. That’s why we refuse to simplify the model building process. After all - how can we know what works for your project?
In Hasty, everything is configurable. We match configs for any architecture you use 1:1 - so whatever you want to do, you can.
With Hasty, you can scale up and automate significant parts of the AI development process so that you can get a production-ready model fast. And while you build your model, you can already start building your application - allowing you to be truly agile in your ML development by working on every step of the process at the same time. With this approach, you can get accurate and tangible results for your business in weeks.
“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.”