Today, we’re excited to share that we have joined Google. Intrinsic was founded as an ambitious Other Bet by Alphabet in 2021, anticipating physical AI’s transformation of the manufacturing industry. We’ve built a world-class, intelligent robotics platform for enterprise customers, and seen unprecedented growth in AI for robotics over the last two years. Joining Google allows us to amplify our collective work across frontier AI spanning R&D through to deployment and daily operations enabling industrial use cases in manufacturing and logistics. As a distinct group within Google, we will continue evolving the Intrinsic platform, utilizing the capabilities of Gemini models and Cloud, while working closely with Google DeepMind.

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“The Intrinsic team has been working for years to enable access to intelligent robotics through a democratized platform, so more people can build and benefit from robotics applications. Combined with Google’s incredible AI and infrastructure, we’re going to unlock the promise of physical AI for a much broader set of manufacturing businesses and developers. This will fundamentally shift production, from its economics to operations, and enable truly advanced manufacturing.”

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– Wendy Tan White, CEO of Intrinsic

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AI-enabled robotics: powerfully adaptive productivity tools for more businesses 

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Physical AI is where software and hardware converge to do valuable real-world tasks. In robotics for manufacturing, that could be system-testing solar panels, accurately assembling server trays, or lifting a 1,000 lb EV battery into place. AI unlocks adaptive intelligence for robots, enabling them to use data to perceive, reason, and react to changes in processes and their environment – think autonomous robots navigating and adapting to changes in parts and processes on an assembly line. By making robots seamless to program, reprogram and use for different tasks, they become powerfully versatile tools helping businesses grow faster and flexibly adapt to shifting needs.

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AI meets the Android of robotics

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Much like Android provides developers a universal platform for building apps that work across different mobile devices, Intrinsic supports app building across different robots, cameras, sensors, AI models and supporting hardware. This lets developers focus on solving customer problems, and not the plumbing. With Flowstate, Intrinsic’s web-based development environment and simulation engine, it’s easy to build applications with ready-to-use ‘building blocks of robotic behaviors’ known as skills. Skills can be manually-developed or AI-enabled, without the need for deep expertise and hundreds of programming hours. Whether the goal is to identify complex parts for assembly, auto-generate code for efficient robot motions, or delicately handle parts using force sensors, these capabilities combine to unlock the task at hand. With a few clicks, you can launch intelligent robotic applications from simulation right through to real world production, in a fraction of the time it usually takes. System integrators and automation companies of all sizes building with Intrinsic are resetting their expectations of industrial robotics – from small machine shops to market leaders like Foxconn.

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“At Google, we see the immense opportunity in bridging the gap between the digital and physical world – that is also true for intelligent robotics in industries like manufacturing and logistics. We’re excited to welcome the Intrinsic team to Google, so we can bring breakthrough AI to more businesses and industries, at scale.” 

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– Hiroshi Lockheimer, Chief Product Officer of the Other Bets

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Bringing breakthrough AI to real world robotics

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Actualizing the value of AI in the physical world means making AI easy to integrate, and highly reliable to use without robotics or AI expertise. Working closely with Google DeepMind, Gemini and Cloud, we can accelerate the rate of AI going from research to real world production, in accessible and practical ways. The teams at Intrinsic and Google are excited to work closely on the biggest opportunities in physical AI and automation.