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Winter 2025Government

Candor

We help companies win government funding with AI

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About Candor

Candor helps defense and deeptech companies navigate the government procurement process with AI. We inject agents into the procurement process - agents that not only surface opportunities but actively pursue them - giving anyone the same capabilities as large contractors. When we met at Stanford 4 years ago, it was rare for startups to work with the US Government. In the years that we’ve been involved in the burgeoning Defense Tech ecosystem, a lot has changed. Silicon Valley and the US Government are closer than they’ve been in decades. As fellows in Stanford’s Center for National Security Innovation, we’ve had the privilege of speaking with dozens of government officials who have come to Silicon Valley looking to fund and scale startups solving their most urgent problems. However, we’ve seen firsthand the struggles these startups face in securing gov funding. Marcus, having spoken with dozens of defense startups in his time helping lead the Stanford Defense Tech Club and trying to set up a national security startup accelerator has seen this especially. That’s why we’re making it easier to find and apply for opportunities, taking the application process from weeks to days. We’re only going to see more cooperation in the coming years. With that, there will be increasingly more funding going towards companies in defense, energy, biotech, quantum, etc. Candor lets you unlock that funding potential.

Quick facts

YC Batch
Winter 2025
Founded
2025
Headquarters
San Francisco
Team size
2
Industry
Government • Government
Tags
artificial-intelligence, govtech
Website
www.usecandor.ai
Profiles
LinkedIn

Founders

Marcus Zimmerman
Founder
CEO of Candor. Prev & Stanford. Helped run Stanford's DEFCON Technology and National Security Network. Worked on a Defense incubator as a National Security Innovation Fellow. Product/Growth at an ex-YC Startup. Angel Inv…
Ethne Laude
Founder
Co-founder and CTO at Candor. Previously interned as a quant trader at Morgan Stanley building low-latency trading systems and as a research scholar at the Space Force. Studied CS systems and Math at Stanford, researchin…

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