No heavyweight data science process is needed! Single container install, you'll be quickly adding ML to key decisions in your app such as tool selection and model routing. Suitable whether you have extensive data science expertise or not. See your accuracy improve with each training, and chart it over time to show your stakeholders that your app is getting smarter with more usage. This is a great way to take a quick prototype or pilot app to carrying a critical production workload, with ongoing accuracy metrics. Check out our OSS project and please provide your feedback!

Looks like a solid tool! Haven't dived deep into the code yet, but the idea of tracking ML model performance over time is really promising. Super cool to have something that doesn't need heavy data science setup! Congrats on the launch!