Miami-based Doxx.net, whose platform enables serverless P2P calling, messaging, and file transfers for humans and AI agents, raised a $38M Series A led by a16z

You can now use a decentralized network that requires no personal information and offers built-in DNS-level threat protection.

Miami-based Doxx.net has secured $38 million in Series A funding, with Andreessen Horowitz leading the round. Animo Ventures and Focal.vc also participated. The company plans to use the capital to launch its open beta platform and advance its privacy-focused networking infrastructure. Doxx.net's Agentic Defined Networking (ADN) platform facilitates serverless peer-to-peer communication, messaging, and file transfers for both individuals and AI agents. It aims to create a sovereign internet with its own DNS, IP space, and encrypted mesh, offering built-in DNS-level threat protection and requiring no personal information to join. The platform operates on company-owned infrastructure across six continents.

The significant Series A funding for Doxx.net, particularly from a prominent investor like Andreessen Horowitz, signals a growing market interest in decentralized and agent-centric networking solutions. This investment underscores the potential perceived in building private, secure communication channels that bypass traditional server infrastructure, catering to both human users and emergent AI agents. The focus on privacy-by-architecture and sovereign internet concepts indicates a push toward a more secure and user-controlled digital landscape.

Doxx.net's platform enables direct peer-to-peer interactions, which could disrupt traditional cloud communication services and content delivery networks by offering an alternative that prioritizes user privacy and security. The integration of AI agents into this P2P framework suggests a future where AI operates more autonomously and securely, interacting directly with users and other agents without central intermediaries. This development could pave the way for new paradigms in secure data sharing and distributed computing.