Our Story

Without an idea for the software, there is nothing to discuss. Without architecture, you just have an idea without substance. Without translating that idea into a product, the idea never lives in the real world. True satisfaction comes from moving from brilliant idea to a product that users rely on for critical data.

Compression is completely ineffective for IoT files.Yet, no one had a better idea than compression for reducing the size of IoT files. Obviously, continuing to further optimize the fundamentally limited technology of compression didn’t make sense.

About AtomBeam

Charles Yeomans is an experienced entrepreneur and CEO with many years of experience in technology and finance. Asghar Riahi is a long time technology product specialist with extensive experience in data storage and management at some of the largest technology companies in Silicon Valley. Asghar had developed a revolutionary idea for reducing the size of data that is the first truly new approach to the problem since the first data compression algorithms in the 1970s; his idea to combine codebooks with machine learning was truly novel.

Charles and Asghar live in the same town east of San Francisco and had known each other from their sons having been in the same Boy Scout troop. Asghar asked for a meeting and pitched Charles his idea. Charles was impressed and checked it out with patent attorneys, data scientists at Harvard and Stanford, and agreed to found a company to exploit this extraordinary idea. They formed Atombeam, raised initial funding and quickly added Josh Cooper, PhD, a brilliant mathematician and data scientist who is a professor at the University of South Carolina, as Chief Scientist.  Initial patents were filed, potential customers were interviewed for product market fit and a prototype was built.

Since its founding, Atombeam has been issued or allowed 13 patents and several major companies have conducted successful proofs of concept trials. The first licensed customer, an Inmarsat affiliate, is expected to begin deployment of Atombeam technology in May 2022.

The answer he came up with is to use machine learning to build Codebooks.
Machine learning (and some exotic math) can be used to find patterns in data. ML does not care if it is seeking patterns in one file, or in millions. When it finds a pattern that occurs often, it assigns a smaller key, or Codeword to that pattern. It then adds the Codewords to a Codebook.
The use of Codewords and Codebooks makes file size virtually irrelevant.
Placing a Codebook in both the source and the destination of data files is a breakthrough innovation. Now the approach was clear. But, the critical step of turning this great idea into usable code required additional talents.

AtomBeam needed an architect and architecture.

AtomBeam—by its very nature—adds security. Without access to the Codebooks, hackers must penetrate an additional layer of security.

Enter Josh Cooper, PhD, a highly regarded mathematician and professor.

Josh immediately saw the potential of Asghar’s idea. He used his deep understanding of advanced mathematics to translate it into an architecture. He calls the architecture, “an efficient ecosystem of algorithms and computational paradigms that adds minimal computational latency”. We now had the architecture. The process of building a practical solution could begin.

Our software development is dynamic, and we take a “never-complete” attitude.

We’re committed to an always-improving product with new ideas, new architectural concepts and new applications of the technology.

We work with strong controls and QA throughout the process (some might say we’re perfectionists).

Our entire engineering effort takes a conservative approach to incorporating new features and optimization. Our objective is to ensure customers can count on receiving a highly stable, quality product.
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