SigOpt automates model optimization so your experts can focus on applying their domain expertise to your most pressing challenges.
The most advanced Optimization Engine that delivers better results, faster and cheaper, than all standard tuning methods
Black-box optimization that efficiently optimizes any machine learning, deep learning, artificial intelligence, simulation, or other model of your choosing
Our API-enabled solution easily plugs into any model management platform or model development framework so you retain flexibility in your technology stack
|Grid Search||Random Search||Open Source|
Any Model Type
Ease of Use
Reliability at scale
Variety of use cases
Long training cycles
By optimizing each model, teams who invest in automated hyperparameter optimization will amplify the performance and impact of models on their business. SigOpt’s customers also typically realize higher performance from models tuned with our solution, and, in certain cases, use SigOpt to solve challenges that unlock entirely new business opportunity.
Optimization is in our DNA. SigOpt was founded by the creator of the Metric Optimization Engine (MOE) and our research team has spent years building and refining our ensemble of applied optimization algorithms to scale with our enterprise customers’ needs. Built by experts for experts, we have a deep appreciation for the broader research community from which we draw inspiration and to which we regularly contribute.