Intrinsic, the robotics software company founded as an Alphabet Other Bet in 2021, has joined Google to accelerate the development and deployment of AI-enabled industrial automation.
The company will operate as a distinct group within Google and continue building its robotics platform while working closely with Google DeepMind, Gemini models and Google Cloud.
The move is aimed at accelerating the adoption of physical AI in manufacturing and logistics. Intrinsic said its platform enables enterprises to build, deploy and operate AI-driven robotics applications across different hardware systems.
“Combined with Google’s 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,” said Wendy Tan White, CEO of Intrinsic.
Physical AI refers to the integration of software and hardware to perform real-world tasks. In manufacturing, this includes system testing of solar panels, assembling server trays, and handling heavy components such as EV batteries.
AI allows robots to perceive changes in their environment, reason using data and adapt to shifting processes on assembly lines.
“At Google, we see the opportunity in bridging the gap between the digital and physical world. We’re excited to welcome the Intrinsic team to Google, so we can bring breakthrough AI to more businesses and industries, at scale,” said Hiroshi Lockheimer, Chief Product Officer of Alphabet’s Other Bets.
Intrinsic reported growth in AI-driven robotics adoption over the past two years and said working within Google will help accelerate the transition of AI research into production use. The company plans to continue developing its platform while expanding its reach in industrial automation.
Intrinsic’s platform supports application development across different robots, cameras, sensors and AI models. Its web-based development environment, Flowstate, allows developers to build and simulate robotic applications using pre-built skills.
These skills can be manually developed or AI-enabled, reducing the need for extensive robotics expertise and programming time. Applications can move from simulation to production through the same system.
The company compares its approach to Android’s role in mobile development, where a unified platform supports multiple devices. Intrinsic said this reduces the complexity of integration for system integrators and automation firms.
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