The Ledger
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Black-box Bayesian optimization outperforms standard machine learning tuning techniques
“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.”
Algorithmic trading firms use SigOpt because client data never touches its systems
“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…”
SigOpt fine-tunes existing client models instead of entirely replacing them
“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.”
Clark: Humans are bad at performing 10-dimensional optimization mentally
“Turns out humans are pretty bad at doing 10 dimensional optimization in their head.”
SigOpt has raised $8.8M to date, led by Andreessen Horowitz
“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.”
SigOpt generates approximately $50,000 in monthly recurring revenue
“That's a fair assumption, yeah.”
SigOpt has experienced absolute zero customer churn to date
“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.”
SigOpt pricing starts at $2,500/mo, with enterprise plans around $10,000/mo
“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.”
Insurance giants like Prudential are actively investing in machine learning
“Prudential is really investing in machine learning and data science. I think we see this across the board in a variety of different insurance companies where some of the more traditional models are being augmented by the amount of new data that's Being able to…”