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PhoenixAI is pioneering the next generation of Physical AI—intelligent systems that understand, reason about, and react to the real world through multi-sensor perception and advanced autonomy. Our mission is to build AI that moves beyond text and images, enabling machines to learn physics, interact intelligently with their surroundings, and operate safely and autonomously across air, land, sea, and industrial environments. At the core of our platform is the Fuxion AI Model, a foundational Physical AI engine capable of learning complex physics principles directly from raw sensor data. Unlike traditional AI systems that rely on curated datasets or narrow task-specific training, Fuxion AI continuously learns from multimodal inputs—RF, radar, EO/IR, acoustic, inertial, and environmental data—to form a unified understanding of real-world conditions. This breakthrough allows our model to accurately predict and respond to physical events, including scenarios it has never seen during training. From counter-UAS and autonomous drones to industrial sensing, robotics, and mission-critical edge systems, PhoenixAI delivers intelligence that adapts in real time, even in GPS-denied or high-interference environments. Powered by advanced reinforcement learning, multi-sensor fusion, and edge-optimized ML, PhoenixAI is redefining what autonomous systems can achieve. We are building the physical intelligence layer for the next era of defense, critical infrastructure, and industrial automation—where machines are not just connected, but truly aware, resilient, and autonomous.

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Rajesh Rasalkar is the Co-founder and CTO - PhoenixAI.tech of PhoenixAI.Tech.

3 people are employed at PhoenixAI.Tech.

PhoenixAI.Tech is based in Sunnyvale, California.

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