SigOpt

SigOpt's API tunes the model's parameters through state-of-the-art Bayesian optimization. Put simply, it is about building, training and deploying machine learning models.

The natural audience is data science teams. Related areas on their profile: Machine Learning. They are a small team, 11 to 50 people, which usually shapes who they work with. Small vendors mean quick answers and real influence on the roadmap, but check who covers support when someone is out.

SigOpt is based in San Francisco, California and around since 2014. Their site is sigopt.com.

Things worth asking about: compute pricing, MLOps features, and framework support. Get the renewal terms in writing before the first invoice.

If you have worked with SigOpt, tell the next buyer what you paid and what surprised you. That is the part of this page we cannot write.