Dillon’s career began when he started teaching himself to program at age 14. By age 18, he had developed and released his own iPhone App. He attended Texas A&M, majored in Physics, and performed tech consulting work for a postdoctoral nuclear physicist, to assist in the development of a machine learning application for heavy-ion collisions.After graduating, Dillon joined Synthetik Applied Technologies, an Austin-based tech startup consulting firm, as a Computer Vision Software Engineer. By the end of his time at Synthetik, he had been the lead on multiple projects for government and commercial clients: Transportation Security Administration (TSA), Department of Homeland Security (DHS), and Cox Automotive Enterprises. In February 2020, Dillon started Standard Data and began developing the current product portfolio (Zipit, Motion, NotionMail, and Notion2Email) in addition to consulting on machine learning projects.

Thomas’s entrepreneurial spirit started when he decided to mow lawns during one summer in college. Interest in smaller companies began during an internship he took, where he worked on a machine learning model to forecast crude oil stock changes. Post graduation with a degree in physics from Texas A&M University, he went to work at the Applied Research Laboratories: The University of Texas at Austin, where he put his machine learning experience to work for the US Navy, using state of the art NLP methods to parse semi-structured text data. Since leaving ARL:UT, Thomas has worked with Dillon on multiple projects, both internal and external as a full stack and machine learning engineer and consultant.

Kangle Lin attended the University of San Francisco where he founded GumDrop.AI, became extremely good at building communities, and launched his own entrepreneurial journey. He has since founded 10XiT and become chairman of the Codex Builders start-up incubator.