Recently, we hosted a live Q&A webinar. Discover how CEO Charles Yeomans and Chief Scientific Officer Josh Cooper are working together with our investors to transform the way machines communicate.
The AtomBeam Vision
According to Morgan Stanley, the #1 trend in corporate investment in technology is in digital connectivity – moving data between machines in real time to ensure they operate harmoniously and efficiently. A robot responsible for welding a part on a car cannot do its job if another robot does not perform the previous manufacturing step exactly in sync, for example. But making the complex interactions like that work is not easy, and requires tremendous volumes of machine generated data to move from one machine to another. AtomBeam’s Compaction can be added to almost any machine and enable it to communicate, on average, 4x faster with no need for new hardware investment. Compaction makes machine communication so fast that bottlenecks that plague networks everywhere can largely be eliminated. And, all this can be done with a software upgrade, or in the future by adding a dedicated chip to a logic board.
In the development of AtomBeam, Charles Yeomans and Josh Cooper shared a vision for the future of Compaction. Charles is a Stanford MBA with over 25 years of experience in executive management and investment banking, working in biotech and technology companies. Josh is a distinguished mathematics professor at the University of South Carolina who specializes in discrete mathematics, covering topics across a broad array of computer science, such as machine learning and various optimization and information theory issues. Working with AtomBeam’s co-founder and the originator of the idea for Compaction, Asghar Riahi, the brilliant, wholly original concept that underlies Compaction has become a product protected by 18 patents and in use for data transmission throughout the world. But that is just the beginning.
Digital Transformation
As IoT devices and other technology generate more and more data, Compaction will become increasingly important to reduce the amount of data to be transmitted. Traditional data compression is relatively slow and cannot effectively reduce the size of the small files generated by machines, and a new idea is desperately needed. Compaction uses sophisticated machine learning algorithms to address this problem, driving out inefficient, repetitive data patterns that slow down machine communications and replacing them with tiny indexes called codewords, so that a 128 bit pattern that would be sent over and over in conventional networks could be represented instead by a three bit codeword, massively reducing the amount of data to be moved between machines. The result: Compaction increases available bandwidth by 4x and simultaneously adds strong security.
So, who can use this technology? Pretty much everyone, in every connected machine that needs to send data with patterns (that is, non-video data) somewhere. Aircraft generate huge amounts of data (typically 20 terabytes per hour for a commercial airliner), industrial machines, agricultural equipment, oil and gas extraction and refining, defense, smart buildings, utilities, cars, trains, ocean liners, your cell phone – the list is almost limitless.
Scaling Compaction
So, how does AtomBeam translate this remarkable technology into something you, your car, an industrial robot or a Navy F-35 pilot can actually use? That is the challenge, but the answer holds the key to how Compaction can scale into the billions: building the software into a chip.
Compaction is amazing in many ways, but one of the most important are its light computation, its small size and its ability to work on whatever processor, network or kind of data you happen to have. That makes it ideal for incorporating in a dedicated chip that is only for Compaction and is super efficient at it, or even a tiny part of a processor, like a CPU, in its own “IP core”. That is how we can harness the power of Compaction and make it simple for anyone designing a sensor, a car, a satellite – whatever you want – to add Compaction to the logic board. That is how Compaction could be in literally billions of machines. But that is not the whole story.
If Compaction can speed up communication between machines over a network, it can do the same thing for the data moving between processors. What does that mean? The speed of computers is often limited by the speed that data can move between processors on a logic board, or the IO from memory to a processor. What if these little Compaction IP cores are present on all of those processors? The connections between processors, called busses, are often the limiting factor of how fast a computer can go – they are like highways for data, and like a highway cannot move more traffic than the capacity of the bus. If you can cut the amount of data you need to send on a bus by 75%, Compaction’s average reduction, you free up that much of the bus, and so now you can send four times more information – in Compacted form – over the same bus. Now a computer that was previously limited by its bus speed could potentially operate 4x faster.
Think about what this can mean for investors in AtomBeam. But first, practical measures need to be taken. To get there, AtomBeam is working simultaneously on the first steps to put Compaction on a chip. We are working on integrating on a single board computer (SBC) that is a small device that can be used to “plug and play” Compaction, and also plan to get to work with a hardware company to work to incorporate Compaction on a chip. SBCs will make it easy for customers to test and implement Compaction, and the work on chips sets up the company for the future. These are early steps, but with Intel as one of our partners, AtomBeam may be in a position to accelerate everything we are doing, massively.
Invest In AtomBeam
Our company is currently raising capital via StartEngine’s equity crowdfunding platform, and we look forward to welcoming you as an early investor.
We invite you to join our rapidly growing community by visiting our raise page and investing as little as $500 in the next generation of data transmission.
