University of Pittsburgh
SigOpt has been a valued tool and SigOpt researchers have been valued partners for our additive and nanomanufacturing projects for many years. The SigOpt platform gives us access to advanced math and technology that accelerates the design of manufacturing processes.
Massachusetts Institute of Technology
Machine learning and physical sciences interplay to invent new materials, and such novel situations require tools like SigOpt to iterate quickly and surpass human intuition. I encourage everyone in my group to use SigOpt.
University of Arizona
When we came across SigOpt, we knew it would be useful in materials research. Indeed, our observations are truly expensive: be it lab experiments or physics-based simulations. SigOpt helps us with optimal designs and efficient exploration of black-box objective functions.