PricingWe have plans for teams both large and small. If you’d like to learn more or schedule a demo, and we’ll help find the plan that is right for you.
Looking for our academic program? Click here for more information.
|Sign Up for Free|
|Number of Seats||1||3||Custom|
|Number of Experiments per Month||5||15||Custom|
|Number of Observations per Experiment||100||500||Up to 100,000|
|Number of Parameters per Experiment||4||20||Up to 150|
|Open Source Integrations2||Yes||Yes||Yes|
|Number of Parallel Suggestions||4||Up to 100|
|Report Failed Observations||Yes||Yes||Yes|
|Success / Support|
|Support SLA||Online Access||1 business day||24 hours|
|Named Success Manager||Yes|
|Early Access Program||Yes|
|Quarterly Review and Update||Yes|
|Sign Up for Free|
1Includes Python, R, Java
2Includes Spark and scikit-learn
4Includes Grid Search and Random Search
Does SigOpt work for my problem?
The technology behind SigOpt has been helping experts in academia tune their complicated experiments for decades. SigOpt has helped firms get the most out of their products with less trial and error in fields from aerospace to finance to cosmetics to ecommerce to routing and beyond. If you are tuning any product via trial and error, we can help you do it better and faster.
Download our PDF brochure to learn more about SigOpt’s value to your industry:
How do I start using SigOpt?
How does SigOpt work?
SigOpt provides an ensemble of the latest techniques in academic optimization research, built on top of advanced open source optimization systems that the founding team has built over many years in the field. First, we suggest the next best variation of your product to try, given what you have observed. Then, we create a feedback loop in which we provide optimal suggestions, and you report how they perform. We quickly iterate to the best possible variation by trading off exploration (learning about the parameters that we are tuning) and exploitation (using the information we have to get the highest possible return).
Frequently Asked Questions
For answers to more frequently asked questions about SigOpt, visit our FAQ.