SigOpt

“So instead of just taking a raw data set of decades of fraud data and giving them some model to like rip and replace what they already have, we sit on top of what they have and provide this additive boost by fine tuning it.”

“No, that's the nice thing is once customers start putting this into their system to replace it, they have to go back to one of these Previous techniques, like trying to brute force the problem or something like that.”

“Our work group pricing that we publish on our website starts at 2500 dollars a month getting you a little more than a dozen models a month enterprise plans ramp up from there around the 10,000 dollar a month mark is typical.”

“This allows us to work with some of the most secretive algorithmic trading firms in the world, where their domain expertise and their models are literally how they make their billions of dollars, but they can still use SigOpt because all we're tuning are these…”

“About a dozen customers around the world.”

“Huawei is another customer.”

“We have about 8.8 million dollars to date. Went through Y Combinator in winter 15. Andreessen Horowitz led our seed round immediately following that. They also led our series A last July.”

“That's a fair assumption, yeah.”

“What we're able to do is without any domain expertise, without making any assumptions about that underlying model, outperform these standard techniques by providing this ensemble of black box Bayesian optimization strategies.”