Applied Intuition Launches Dana, the Agentic Platform for Physical AI New platform pairs agentic AI with the tooling, data, infrastructure and domain expertise Applied Intuition has built over nearly a decade to speed the safe development of intelligent machines for the physical world. Applied Intuition, Inc., a leader in physical AI, today announced the launch of Dana, the first agentic platform for building, testing, deploying and operating physical AI systems across industries. Dana combines the power of agentic AI and rapid application development with nearly a decade of Applied Intuition's tooling, infrastructure and engineering knowledge. The result is a unified system that accelerates the development of intelligent machines in the physical world. "We believe physical AI will become one of the defining technologies of this century," said Qasar Younis, co-founder and CEO of Applied Intuition. "Our ambition is to help bring intelligence to a billion machines, and Dana is the platform we built to make that possible." Unlike general-purpose AI tools designed primarily for digital workflows, Dana is built for the complexities of machines operating in the physical world. Dana comes with all the platform capabilities needed to build and deploy safety-critical physical AI applications, including data, visualization and tooling, as well as the evaluation, traceability and governance these systems require. The platform was designed to work across industries and with a wide range of use cases, from software-defined vehicle development and advanced driver assistance systems (ADAS) to mining and construction operations, truck fleet management, robotics and intelligent in-vehicle experiences. With Dana, customers can: Deploy Applied Intuition's reference applications — spanning autonomy, fleet operations, and more — or build their own. Use both natural language and command-line interfaces to complete complex development tasks more intuitively and accelerate iteration cycles across teams and systems. Integrate the platform with enterprise systems and