With SigOpt, data scientists and machine learning engineers can build better models with less trial and error.
SigOpt increases model accuracy and accelerates hyperparameter tuning, using an ensemble of methods from current optimization research.
From aerospace simulation to artificial egg whites, SigOpt helps scientists and engineers optimize the parameters of their manufacturing and industrial processes to minimize trial and error.
“Bayesian Optimization methods may be the wave of the future. Nothing like arriving at your answers faster, whether
positive or negative—innovate even faster when discovering positive results, or just fail fast and move on more rapidly
with your research!”
– Justin Lent
Director, Hedge Fund Development
“SigOpt helps us optimize the financial models in our funds management platform.
The API is convenient and easy to set up. SigOpt gets us better results, optimizing
15 times faster than before. Now, we’re happy to focus on other matters, because
SigOpt saves us so much time.”
– Max Logunov, PhD
Developer, Optimus Socially Responsible Investments LTD