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Optimizing IoT Data Transmission with Charles Yeomans of AtomBeam Technologies

·39 min·2 clips

AtomBeam says it can make datagrams about 75% smaller in microseconds.

The frame is simple. Yeomans thinks data-heavy systems live or die on how well they move information, then how well they use it once it lands. Ledge keeps the conversation loose enough for Yeomans to explain the backstory, from Navy intelligence to Stanford to Wall Street, without letting it drift too far from the business problem. The operator angle shows up fast. Compression is not treated like invisible plumbing. It is about pipes, limits, and what customers can actually get through. Satellites are the cleanest example. Yeomans points to Viasat to explain why fixed capacity turns better compression into something customers can feel. Then the Air Force work comes in. Nurcom is described as a second product, an AI layer aimed at lossy compression for image-heavy jobs. The claim is the hook: roughly twice as many same-quality images through the same constrained channel. The use cases stay fairly specialized. Synthetic aperture radar is where the work is focused now, with hyperspectral, lidar, deep space, and ordinary RGB sitting nearby as possible fits. Yeomans does not chase the Netflix comparison. The goal is broader than consumer streaming, but also more awkward and technical: make compression work across more than one kind of data. The funding thread adds a human wrinkle. Yeomans has venture connections from Stanford, but he likes the idea that this kind of opportunity should not stay locked inside insider circles. Crowdfunding gives the episode its odd turn, especially for a deep-tech company that takes some explaining. Ledge follows that thread, and the episode lands as a practical founder conversation about bandwidth, customers, capital, and the unglamorous mechanics behind useful data infrastructure.

As heard by us

A practical story about data compression, deep tech, and making a hard product legible.

Charles Yeomans makes a technical B2B premise feel grounded: when the problem is moving data, better compression and transmission can become the edge.

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Why you'd press play

Want the business case behind squeezing more value through the same data pipe, from an Air Force-backed deep-tech startup?

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