Autonomous Micro-Drones & AgenticAI Since 2010
Established in 2010 in Ramona, California, PPZUAV designs and builds autonomous micro-drone systems. Today the focus is independent AgenticAI platforms, MCP server–based ground tools, and practical AI-assisted flight with a human pilot-in-command.
PPZUAV AgenticAI Platform is a purpose-built approach to fully autonomous micro-drone operations for critical applications requiring rapid deployment, AI-driven decision making, and seamless mesh networking.
Core Capabilities:
Target Applications:
Technical Foundation: Modern Node.js/TypeScript stack, web-based ground control station, MQTT message broker, and comprehensive safety systems designed for FAA Part 107 compliance while enabling AI integration.
Explore the complete PPZUAV AgenticAI platform source code, including MCP server architecture, autonomous flight systems, and AI integration frameworks.
Node.js/TypeScript StackDeep dive into the drone architecture: MQTT messaging, web-based GCS, and LLM integration for autonomous operations.
Complete Technical OverviewFAA-compliant autonomous flight planning with weather integration, terrain analysis, and multi-layer safety protocols for fully autonomous operations.
Python-based Flight Planning & SafetyModel Context Protocol implementation for AI agent coordination, enabling LLM-driven mission planning and real-time decision making.
AI Agent FrameworkPPZUAV was established in 2010 in Ramona, California. From 2007–2015 the company supported the USA drone hardware community with boards, sensors, and components. Today PPZUAV builds independent AgenticAI micro-drone platforms and MCP-based services for autonomous flight.