
Vannevar Labs
Vannevar Labs is the AI-native open-source intelligence (OSINT) platform for US defense and national security. ~$75M Series B; OpenAI alumni founding team.

Overview
Vannevar Labs
Vannevar Labs is the AI-native open-source intelligence (OSINT) platform purpose-built for US defense, intelligence, and national security customers. Vannevar Labs combines large-scale multilingual data collection with foundation-model analysis to surface signals about adversary intent across thousands of foreign-language sources. Vannevar Labs raised approximately $75M Series B and counts ex-OpenAI engineers among the founding team alongside national-security operators.
Production credibility: Approximately $75M Series B led by Bessemer Venture Partners with General Catalyst, Costanoa, and Felicis participating. Founded by Brett Granberg (ex-Palantir) and Nini Hamrick (ex-CIA, ex-Anduril). Foreign-language coverage across thousands of sources. Customers include US Department of Defense, intelligence community, and allied national-security agencies.
Key Features
- AI-native OSINT platform for US defense, intelligence, and national security
- Large-scale multilingual data collection across thousands of foreign-language sources
- Foundation-model analysis surfaces signals about adversary intent
- Founded by Brett Granberg (ex-Palantir) and Nini Hamrick (ex-CIA, ex-Anduril)
- $75M Series B led by Bessemer Venture Partners
- Investor participation from General Catalyst, Costanoa, Felicis
- Customers include US DoD, intelligence community, and allied national-security agencies
Ideal Use Case
US defense, intelligence, and national-security customers that need real-time AI analysis of multilingual open-source intelligence — particularly agencies and prime contractors monitoring adversary state activity, social media signals, and foreign-language reporting.
How Vannevar Labs differentiates
Palantir Gotham is the dominant defense-intelligence platform but is generalized across data types and customer workflows. Anduril builds autonomous defense systems (drones, command software). Vannevar Labs' niche is AI-native OSINT specifically — multilingual data collection at scale plus foundation-model analysis, purpose-built for the open-source signal-intelligence use case where Palantir's breadth and Anduril's hardware focus leave gaps. The trade-off is a narrower addressable market; the upside is deep specialization for that market.
FAQ
Q: What is Vannevar Labs? A: Vannevar Labs is an AI-native open-source intelligence (OSINT) platform purpose-built for US defense, intelligence, and national security. It combines multilingual data collection at scale with foundation-model analysis to surface adversary-intent signals.
Q: Who founded Vannevar Labs? A: Brett Granberg (ex-Palantir) and Nini Hamrick (ex-CIA, ex-Anduril) co-founded Vannevar Labs. The founding team includes ex-OpenAI engineers.
Q: How much has Vannevar Labs raised? A: Approximately $75M Series B led by Bessemer Venture Partners, with General Catalyst, Costanoa, and Felicis participating.
Q: Vannevar Labs vs Palantir vs Anduril? A: Palantir Gotham generalizes across data types and customer workflows. Anduril builds autonomous defense systems and command software. Vannevar Labs specializes in AI-native multilingual OSINT — the open-source signal-intelligence niche where Palantir's breadth and Anduril's hardware focus leave gaps.
Q: Who uses Vannevar Labs? A: US Department of Defense, intelligence community, and allied national-security agencies for real-time analysis of multilingual open-source intelligence.
tl;dr
Vannevar Labs is the AI-native OSINT platform for US defense and national security. $75M Series B (Bessemer lead). Founded by ex-Palantir and ex-CIA/Anduril operators. Multilingual data collection at scale plus foundation-model analysis. The OSINT specialist where Palantir's breadth and Anduril's hardware focus leave gaps.
Related
Looking for more options? Browse the Security & Governance directory or read our best AI security tools listicle. Vannevar Labs is also tracked on Crunchbase.
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