The next decade will see all enterprises become data companies, including their people data. We're committed to working with engineering teams at enterprises who are building internal people data infrastructure, people data, and insights on top of their people data.
Co-Founder & CEO
Co-Founder & President
Daniel comes from Wells Fargo Forensic, where he led entity resolution efforts from a machine learning standpoint to unmask fradulent account identities. He has authored numerous top open source repositories, and has experience managing and scaling large engineering teams at Oracle and Intel.
Yuan comes from IBM Watson Labs, the machine learning/AI division of IBM. He has solved entity resolution problems from a machine learning standpoint over the past decade, and holds a masters in computer science from New York University.
With past experience managing infrastructure at the IRS, Sean brings a talented background to TalentIQ. He believes in scalable approaches that maximize security. Sean has three adorable kids, and grew up in Fresno, California before moving on to Silicon Valley.
James is a Cloud Solutions Architect hailing from Portland, OR. With strong roots in the open source communities that drive our products, James brings a wealth of community presence to PeopleDataLabs and vice versa.
Lindsay is a co-founder of two previous companies in the enterprise space. She can code, and loves to run market segmentations in her spare time.
We've made a core engineering commitment to our customers, and we back it up in the board room, partnering with engineers, not business people. We are backed by two great Silicon Valley venture capital firms focused on data science - 8VC and Susa Ventures.