[saintarian]

There are a continuum of offerings in this space. Some have lots of custom control of the training pipeline and deployment, and on the other side, things like RoboFlow that try to make it easy / hide the complexity. We consider ourselves even further to the “hide complexity” side, since we try several deep networks automatically vs. making you choose, re-train automatically, abstract-away non-essential ML jargon, etc. In addition, we don't limit ourselves to only vision - we'd like to be the one stop shop for ML as a service. We also have developer-friendly pricing with quick and easy signup.

We benchmarked ourselves against Google AutoML and HuggingFace, looking at both user experience and model performance, and wrote it up in a blog post that may interest you: https://www.nyckel.com/blog/automl-benchmark-nyckel-google-h...