Twenty Raises $38 Million to Expand Cyber Warfare Systems

Nov 24, 2025
Cyber warfare technology company Twenty has raised $38 million in Series A funding led by Caffeinated Capital, with participation from General Catalyst and In-Q-Tel. The company, founded in 2024, builds intelligent, autonomous systems for U.S. military and intelligence cyber operations.

Twenty has raised $38 million in Series A funding to expand its intelligent, full-lifecycle cyber warfare systems, announced in a press release. The round was led by Caffeinated Capital, with participation from General Catalyst and In-Q-Tel.

Founded in 2024, Twenty has worked with the U.S. military and Intelligence Community to develop agentic, end-to-end systems designed to accelerate offensive cyber operations. The company emerged from stealth to focus on scaling cyber capabilities for national security missions.

Co-founder and CEO Joe Lin said the company aims to equip U.S. analysts and operators with autonomous tools to conduct cyber operations at industrial scale. The team includes technologists and former military and intelligence operators who have collectively delivered over $100 million in government contracts.

The new funding will support the deployment of Twenty’s systems to enhance the speed and efficiency of U.S. and allied cyber operations.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

Guide
Companies building payments for AI agents

Companies building payments for AI agents

The networks, processors, platforms, rails and startups that let AI agents pay

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.