Google co-founder Larry Page is quietly backing a highly secretive artificial intelligence startup called Dynatomics, which appears to be developing AI-driven manufacturing technology.
Unlike major AI labs such as Google DeepMind and OpenAI, which focus on large language models and generative AI, the startup is reportedly working on applying AI to industrial production, according to The Information.
However, virtually no public information exists regarding its corporate structure, leadership, or specific technologies. A website has been put up already, greeting with a simple message saying that they are “working on something new”.
Given the absence of official statements, speculation remains about whether this is a personally funded initiative or an unannounced extension of Alphabet’s AI research.
Page has a history of backing ambitious but discreet technology projects. His now-defunct Kitty Hawk Corporation, which aimed to develop personal electric aircraft, remained under the radar for years before ultimately shutting down in 2022.
Much like that venture, Dynatomics has avoided public attention, leading to questions about its objectives and long-term viability.
A Stealth AI Project With an Unknown Scope
Unlike most AI startups that actively seek investor interest and media coverage, Dynatomics has maintained an unusual level of secrecy. The Information suggests that the company is focused on artificial intelligence applications in manufacturing, a field where AI has yet to see widespread integration.
Traditional factory automation relies on rigidly programmed robotics, but AI-driven systems could allow for real-time adaptability, self-optimization, and even automated product design. Companies such as Tesla have already introduced AI-based automation in their Gigafactories, while Nvidia and Siemens have worked on AI-powered industrial simulations.
AI-driven manufacturing is distinct from traditional automation. Current factory robotics operate on predefined instructions, but AI-based systems can make real-time decisions, optimize production workflows, and adjust processes based on supply chain fluctuations.
If Dynatomics is developing AI that can oversee, refine, and even design manufacturing processes autonomously, it could mark a shift toward intelligent production systems.
Page’s History of Investing in High-Risk, Experimental Technology
Since stepping down as CEO of Alphabet in 2019, Page has largely stayed out of the public eye, though he has continued to invest in emerging technology.
In his farewell letter alongside Sergey Brin, Page wrote in 2019: “We’ve never been ones to hold on to management roles when we think there’s a better way to run the company. And Alphabet and Google no longer need two CEOs and a President.” While distancing himself from Alphabet’s day-to-day operations, he has maintained a strong interest in AI and automation.
While artificial intelligence has transformed industries such as content creation, customer service, and software development, its impact on manufacturing has been slower to take hold.
Traditional factory automation has long relied on robotics and pre-programmed workflows, but the integration of AI could take industrial production to a new level. Companies such as Boston Dynamics have pushed AI-driven robotics into real-world applications, but widespread adoption in manufacturing has yet to materialize.
AI in manufacturing is distinct because it does not just automate tasks—it enables systems to analyze data, predict inefficiencies, and adapt processes without human intervention.
A factory equipped with an advanced AI system could detect defects in real-time, adjust production schedules dynamically, and even optimize designs based on material availability. If Dynatomics is developing AI that can take on these functions, it could be a step toward fully autonomous manufacturing.
