San Francisco, California, United StatesFounded 201431+ employeesPrivate
$8.7M raisedAcquired· last: series unknown (Feb 2018)· 4 rounds
Backed by(8 investors)
SigOpt's REST API can be easily integrated into any existing ML workflow. SigOpt suggests parameter configurations, and you report their performance. They continuously refine their models to suggest the next best configuration to try. Their black-box optimization approach means you only need to send SigOpt the parameter space, and your performance metric, not the underlying training data or model.
