Learn why Two Sigma standardized on our optimization solution to scale their research efforts. Read More

Build the best models

SigOpt is a standardized, scalable, enterprise-grade optimization platform and API designed to unlock the potential of your modeling pipelines. This fully agnostic software solution accelerates, amplifies, and scales the model development process.

SigOpt was founded to empower the world’s experts

Our black-box hyperparameter optimization solution automates model tuning to accelerate the model development process and amplify the impact of models in production at scale. This process empowers our customers to generate more high-performing models in production. And with more models in production, they earn a higher return on their modeling investment.

Augment Expert Productivity

“We can keep our experts focused on the tasks core to our business, and entrust the SigOpt platform to find the optimal hyperparameter configurations.”

Dr. John Platt
Deep Learning Engineer
Carbon Relay


Amplify Impact of Your Models

“We’ve integrated SigOpt’s optimization service and are now able to get better results faster and cheaper than any solution we’ve seen before.”

Matt Adereth
Managing Director
Two Sigma


Accelerate Model Development

“Integrating SigOpt into our modeling platform empowers our team to more efficiently experiment, optimize and, ultimately, model at scale.”

Peter Welinder
Research Scientist

Empowering Leading AI Firms Worldwide

Powering Leading Research

Backed by the World’s Top Investors

Partnered with Other AI Leaders

Globally Recognized and Award Winning

Built to Deliver Enterprise Results at Scale

Modular: Embed in any platform
With just a few lines of code, your team can embed SigOpt in any workflow, regardless of the type of machine learning platform, model management solution, cloud infrastructure, client library, or model type that is being used. We are dedicated to designing solutions that meet your experts where they are, rather than forcing them to build a workflow that accommodates our products.
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Impactful: Augment your experts
SigOpt drives modeling impact in two ways. First, we maximize the impact of your experts on any data science problem by augmenting rather than replacing them the way that other AutoML solutions do. Second, while acknowledging there is no free lunch, our solution reaches the global optima better, faster and cheaper than alternative methods for the full volume, variety and complexity of your models.
Augment Your Experts
Scalable: Optimize any model
Ours is the only hyperparameter optimization solution that supports up to 100 hyperparameters or offers 100x parallelism so your team can optimize their high dimensional models more quickly than ever before. It also incorporates a variety of advanced optimization features such as multimetric optimization, multitask optimization and conditional parameters that are designed to empower your team to solve entirely new business problems with entirely new models.
Experiment Insights
State of the Art

Backed by Leading Applied Research

Applying optimization techniques to enterprise modeling use cases comes with its own host of unique challenges. Our research team is passionate about evolving our optimization solution to address these challenges so our customers can trust the performance of their models in production and at scale. In the process, our customers often abandon grid search, random search, and open source Bayesian optimization.

The Most Advanced Optimization Solution

10-100x Faster

Whether utilizing our leading Optimization Engine or advanced features like Multitask Optimization, our customers tune their models much faster than when using alternative methods. This becomes particularly important as teams increase the complexity or dimensionality of their models. Explore use cases in which SigOpt tunes models 10x faster than other methods.

90% Cost Savings

SigOpt significantly increases computational efficiency with an ensemble of Bayesian and global optimization algorithms that are designed to efficiently explore and exploit any parameter space. When combined with leading AI hardware, this approach results in enormous cost savings that scale with modeling over time. Learn how AWS, NVIDIA and SigOpt efficiently scale model training and tuning.

Better Performance

There is no free lunch, but SigOpt consistently outperforms grid, random, and other Bayesian search methods across a wide cross-section of problems. Though the primary benefit of SigOpt is that it can efficiently optimize any model, it most often delivers better performance along the way. Learn how we compare in a stratified analysis of Bayesian optimization methods.