In this episode, I catch up with Saurabh Chandra, founder and CEO at Ati Motors, to discuss his views on how factory automation is evolving in the era of physical AI, as robots finally begin to “break out of the yellow cages” of safety zones.
Ati Motors makes autonomous mobile robots for materials movement in factories, and its customers include several Fortune 500 companies. As Ati expands its footprint into the US market, Saurabh outlines a future where Physical AI and software agents work in tandem to redefine the “Digital Assembly Line.”
The idea of a “lights out” factory or a “dark factory” is decades old. Engineers dreamed of fully automated installations where robots and machines took over — without human intervention — and made useful things for us. Cars, for example.
But a combination of both technical challenges and real-world non-engineering problems ensured that such factories remained more science fiction and less reality. Until recently. Today, many experts in the industry and advanced manufacturing believe that we’re approaching a tipping point with respect to automation and robotics technologies.
In this conversation, Saurabh outlines the idea of an AI-led materials movement orchestration platform that Ati has already deployed with some early customers. The idea is that factory executives are beginning to realize that the real value on the shop floor isn’t the robot itself, but the material it moves.
Saurabh explains why traditional ERP systems often fail to track Work-in-Progress (WIP) inventory, leaving a visibility problem as SKU complexity has multiplied manifold over the last 15 years. By creating a “spatial system of record” that tracks every trolley, bin, and staging area in real-time, Ati Motors is helping global giants move from intuitive management to quantified, data-driven orchestration.
Global manufacturing is currently caught in a pincer movement of structural labour shortages across advanced economies and a geopolitical push to reshore production closer to end consumers. As the “factory of the world” model decentralises away from China, the future of Western industrial hubs depends on their ability to integrate “physical AI” that can handle the hyper-personalised, high-SKU demands of modern commerce.
This manufacturing arms race, increasingly prioritized by the boards of Fortune 500 companies, is turning autonomous orchestration from an experimental project into the essential infrastructure of 21st-century industrial sovereignty.
“A lot of people in large companies, for whom status quo was their friend, find that situation is now absolutely in the past,” Saurabh notes during the interview. And at Ati, “we have really transformed into an organization where the robots are the means to the end, which is finally making sure that the factory runs in the way it’s supposed to. The goal is to create a system of record for the shop floor — integrating physical agents, software agents, and humans into a single, intelligent orchestration layer.”
The platform, Ati Flow, also considers how physical AI or robots, software AI agents and humans will all interact making factories of the future more efficient and sustainable. And Saurabh gives us a sense of how the journey to the dark factory will likely involve three phases and how he thinks Ati can catalyse and facilitate that transformation.
Chapters
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01:24) The evolution of Physical AI and the future factory
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03:43) Market traction and the new urgency for AI agents
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07:44) Manufacturing vs. warehousing: the complexity of making things
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11:35) The 10X SKU problem and the latent demand for data
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17:23) From Robot vendor to material orchestration platform
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22:05) Real-world RoI: reconciling inventory and reducing assembly line starvation
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30:50) The three-phase roadmap to the dark factory
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35:35) Specialization vs. mimicry: breaking the “Yellow Box” metaphor
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43:28) Global manufacturing 2030: the democratisation of gigafactories