Optimize Everything

LOCATION San Francisco, CA

COMPANY SIZE Between 10 and 25

# OF ENGINEERS Between 5 and 10

FUNDING $5M - $10M



TAGS Machine Learning, Optimization, Academic Research, YC Winter 2015

What do we do?

SigOpt is the optimization platform for everything. SigOpt helps you run better A/B tests, make better machine learning models, and build better physical products.

For example, a large brewing company uses SigOpt to figure out the best combination of ingredients to brew. They test different combinations, feed us the sales data and we use this to predict which combinations will sell the best and helped them boost sales.

Why join us?

1) We're building the best optimization toolset in the world. Our founder, Scott Clark, pioneered this research in his PhD at Cornell and now, we're bringing it to the world.

2) We are a small, early stage team. You'll have of opportunity to work across the stack and get lots of ownership. Our style is to give people loose specs and let them make the decisions on how to implement it.

3) We have some big enterprise customers using us, such as Prudential and MIT.

4) We just raised a series A from Andreessen Horowitz of $6.6m, which gives us lots of room to grow this year.

5) You'll get to work on Machine Learning and optimization without needing any experience of this. You'll be working alongside experts everyday.

Technical challenges

1) Scaling our infrastructure to handle more parameters/observations/etc from our growing list and size of customers.

2) Adding parallelization to our API so customers can optimize multiple things at once, this is an interesting distributed systems problem

3) Authentication security, how do you share results with your team securely?

Our press coverage

Our Founders

Scott Clark


Patrick Hayes

VP, Engineering          

Our tech stack

  • Python
  • C++
  • Flask
  • PostgreSQL
  • React
  • Node.js

Our investors

  • Andreessen Horowitz
  • Data Collective
  • Y Combinator