Machine learning systems are making decisions that impact billions of people's lives and livelihoods. It's our responsibility to teach them well. We've started by helping developers train models that are more accurate, and in the future to help prevent bias and improve security.
We believe in the power of diversity and that startups should create opportunity for people from all backgrounds. We're building our team of employees, investors, and advisors to reflect those values.
Our founding team has over 30 years combined AI and enterprise software experience from Google and Microsoft, with roots at MIT, Stanford, Berkeley, and Harvard.
Co-Founder & CEO
Tom has advised machine learning startups as an investment partner at Andreessen Horowitz. He was in customer-facing product roles at Google, and also built and launched developer products at Autodesk and Silicon Graphics, where he started his career as a software engineer. Tom was a member of the Computer Vision and Machine Learning research group at MIT, where he received his BS and M.Eng in Computer Science, and holds an MBA from Harvard.
Co-Founder & CTO
Sam has led teams in Google's AI Research group where he focused on improving the performance of machine learning models. He also spent 9 years at Microsoft, where he led engineering teams for Xbox One and Windows Media. Sam started his career conducting research on large scale simulations at Lawrence Livermore National Labs. He holds a BS in Physics and a minor in Computer Science from Berkeley.
Co-Founder & Head of Product
Yaosh has held senior operating roles in product and partnerships. He was the first PM on the launch team for Amazon Video, and led partnership initiatives for YouTube and Google Fiber. Yaosh started his career as a software engineer at early stage startups and has developed novel techniques for improving machine learning systems. Yaosh holds a BA in Computer Science from Berkeley, an MS in Computer Science from Stanford, and an MBA from Harvard.