Win more DoD contracts with policy, budgetary, and contract intelligence.
Usul allows defense contractors to easily interpret government policy, track funding lines across budgetary documents, and strategize the best opportunities for new business.
Winning DoD contracts can take years, even if you’re well-connected and highly familiar with government acquisition processes. Unfortunately, many companies lack both and go out of business before ever landing their first contract. Adding fuel to the fire, critical government information is randomly dispersed across a multitude of archaic websites, databases, and spreadsheets, making it even harder for new entrants to compete against established primes. As a result, defense contractors are currently spending weeks finding answers to crucial policy, budgetary, and contracting questions and are completely neglected in terms of tooling.
We allow defense contractors to quickly track and query complex DoD demand signals under a unified workspace. Contractors can now:
All in one place.
Stake your own company data against government demand signals to:
We’re a group of AI nerds who’ve all worked for government contractors like Palantir, Apple, Reliable Robotics, etc. We met in a class at Stanford called Hacking 4 Defense, where we talked to 200+ people in the DoD/defense sector about their biggest problems. Our insights from these incredible conversations inspired us to form Usul. And yes, it’s a Dune reference…
Jarren Reid left high school to start his first company. He then worked for 4 government contractors (Palantir, MITRE, etc.) and dropped out of Stanford to help his past colleagues win more contracts.
Oliver Gomez started building as a PM at Finnt (YC W22). He then worked at Palantir and leveraged LLMs for military operational legal review at Stanford’s Gordian Knot Center. He dropped out last quarter.
Joonghyun Lee is a commercial pilot who has been working on autonomous aircraft research for the past 3 years. He has experienced numerous pain points dealing with regulation across different government agencies.
Pranav Sriram has been engrossed in AI research for the past four years at Apple and the Stanford Vision and Learning Lab. He previously worked at NASA and saw firsthand how time-consuming getting answers to basic technology, security, and policy questions across government could be.
We’re Live! Learn more about what we’re building at usul.co.
If you know any:
We’d love to chat! Please feel free to contact us at founders@usul.co or book a demo here!