SalesPatriot
Winter 2025We help defense firms win more contracts with the Pentagon
About Company
SalesPatriot is a back-office operating system for defense firms. It helps you find, review, and bid on RFQ solicitations, both directly with the Pentagon and as a subcontractor. US Government procures billions of dollars worth of parts and products every year, yet the procedure is riddled with red tape and repetitive, manual work. Nelson worked at a manufacturing firm during his gap year prior to attending Berkeley. As the Chief of Staff, he witnessed first-hand the tedious process of finding great contract opportunities, the lengthy solicitation preparation process, and paper-based communication between departments. He teamed up with Ben and Maciej, whom he met during Berkeley's M.E.T. admit day. Both of them had extensive experience in AI research and applications, which they applied to creating a powerful framework for humans and AI agents to collaborate during the lifecycle of a contract. With SalesPatriot, your firm can run on autopilot - we find suitable contracts automatically, ingest RFQs from primes, streamline the communication between the departments, and provide analytics to improve your win rate. Wether you are a manufacturer, reseller, or distributor, SalesPatriot can reduce your manual tasks, increase throughput, and boost your revenue.
Active Founders
Ben, Co-Founder & CTO, started programming at the age of nine. Before starting SalesPatriot, he researched quantization techniques of LLMs at MIT’s Han Lab, and started his first company Trace. He also applied his AI skills to synthetic data research he pursued in collaboration with DARPA. Ben's grandfather and great grandfather were both Air Force pilots. He hopes to uphold their legacy by helping today’s defense efforts through SalesPatriot.
Maciej grew up in Poland, graduating with a maximum score (45/45) in the International Baccalaureate Diploma Program. He then came to Berkeley on a full scholarship from Rafal Brzoska Foundation to study Electrical Engineering & Computer Science, Business Administration, and Mathematics through the Management, Entrepreneurship, & Technology program. Before college, he did ML research at the Human Brain Project and worked on InPost's Data & AI algorithms.