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While Google co-founder Sergey Brin focuses on advancing the company’s AI dominance, his fellow co-founder, Larry Page, is exploring AI’s potential in industrial applications.
According to The Information, Page is reportedly behind Dynatoms, a startup that aims to apply AI algorithms to product design and manufacturing by optimizing materials and tools.
From Artificial Intelligence to Industrial Intelligence
TechCrunch reported that Page’s new venture is unaffiliated with Google (except for its founder). It aims to create “highly optimized” designs using AI models to accelerate processes that typically require months of human labor.
The initiative marks Page’s return to leading a tech project after years as a discreet investor in aviation companies such as Kittyhawk.
Full details of the activities of Dynatoms aren’t yet known. However, The Information reports that its approach wouldn’t be limited to software. The platform would integrate AI-generated designs directly into factories to initiate industrial production. This would connect a product’s design to its manufacturing chain—an innovation in an industry where these stages are typically managed separately.
Page isn’t alone in this endeavor. According to The Information, former Kittyhawk CTO Chris Anderson is also behind the startup. Engineers specializing in AI, robotics, and manufacturing systems would complete the team.
Since the project is still in its early stages, the names of these specialists are unknown. However, given the backgrounds of both founders, it wouldn’t be surprising to see former Alphabet and Kittyhawk employees involved.
Early Stage, but With a Bright Future
Although Page has been working on Dynatoms for months, the startup has no confirmed launch date or customers. Sources cited by The Information indicate that the founders are prioritizing perfecting the technology before presenting it to the public. This contrasts with the typical Silicon Valley approach of launching minimally viable products, even if they fail quickly.
According to a McKinsey study, AI implementation in supply chain and manufacturing could add up to $3.5 trillion annually to the sector by 2030.
If Dynatoms can scale, it could compete with giants like Autodesk or even generative AI tools from companies like OpenAI by specializing in industrial applications. But it won’t be alone in this space.
Startups such as Orbital Materials are already using AI systems to develop new industrial materials, while PhysicsX is optimizing complex product designs, such as cars and airplanes, using digital twins to accelerate development. These companies are working to optimize processes with tools that don’t yet exist—but will be at the forefront when they do.
Image | TED Conference
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