247: Lessons from a Serial Entrepreneur: Mark DeSantis on Startups, Robotics, and Commercializing Tech

Manufacturing Happy Hour · 22 Jul 2025 · 1h 05m

AI in practice: 2 real uses of AI described

What this episode covers

Serial entrepreneur Mark DeSantis, who recently sold Bloomfield Robotics to Kubota Corporation, explains his philosophy of focusing on 'big and boring' problems rather than chasing technology trends. He details how Bloomfield used plant-level imaging and deep learning to solve agricultural inspection issues, a process that required understanding the specific operational realities of farmers rather than just pitching a solution. DeSantis also draws parallels between the current state of robotics and the pre-Ford auto industry, arguing that commercial viability depends on manufacturing scalability rather than just technical innovation. Finally, he discusses how Pittsburgh’s unique ecosystem, anchored by Carnegie Mellon University, has fostered a thriving robotics community by leveraging local strengths instead of trying to mimic Silicon Valley.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulation

The company used deep learning models to analyze plant-level imaging data from their robotic systems to assess the health and performance of crops in the field.

“They use plant level imaging, and deep learning to assess the health and performance of the crops. And that was recently sold to Kubota, a tractor manufacturer.”

Speaker 3 · Hear it at 0:43

Engineering & simulation

The team applied machine learning algorithms to the complex problem of pricing electricity in US markets, which served as a foundational application before moving to robotics.

“So we applied our machine learning to this boring problem that's a backwater, that people think of utilities, and it worked.”

Speaker 1 · Hear it at 20:42

Mentioned

Companies
Bloomfield Robotics, Kubota
Also
Carnegie Mellon University, Pittsburgh Robotics Network

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