SBIR/STTR Research Award

Radically Efficient Machine Data Software

Award identifier 66115ec1e75f0e6ef5e2c9c1ca427447a6baf367a784d0500602c5b5c7b06f32Awarding agency Department of Defense · Air Force

Award amount

$49,813

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ATOMBEAM TECHNOLOGIES INC.
Proposal award date
2021-04-15
Contract end date
2021-07-19
UEI
WCN5DNZBCZV8
Solicitation number
X21.1
Topic code
AF211-CSO1

Research abstract

AtomBeam’s patented software technology has the potential to improve USAF data communication dramatically across many platforms, increasing typical effective bandwidth or data speed by a factor of 3-5x with minimal added computation and memory requirements. It uses ML to find patterns in a corpus of training data consisting of thousands of IoT files and builds Codebooks consisting of patterns and associated indices/Codewords; when identical Codebooks are installed in the source and destination, they can communicate in Codewords, rather than ever sending the original data. Codebooks can be built and updated entirely autonomously. Typical compaction achieved is 70%+ reduced compared to the size of the original data. Numerous ancillary advantages of AtomBeam’s technology benefit users. Because the heavy computing is done in advance, processing live data consists only of a lookup and is very light and fast, up to 400x the speed of compression. With far less data to send due to compaction, effective speed of transmission is increased dramatically, as well as expanding available bandwidth. Users experience improved IoT battery life resulting from reduced time on air, and improved security due to obscuring the data through translation of the original data to Codewords, which can be further secured by encryption of the Codewords and additional proprietary techniques. Range is lengthened up to 2x due to freeing up bandwidth for added, more efficient error correction, and the flow of AtomBeam-encoded data corrects itself, making it more resistant to interference. In development is a feature that will allow users to search and randomly access stored, encoded/compacted data in the same manner as original data. The software can be provisioned in the stack of new or existing machines as a software/firmware update; the executable is less than 2000 bytes and Codebooks vary in size from 350 bytes to several MB. The technology is fully operational, can be demonstrated with a demo on an AWS instance and with an SDK can be installed in a user environment. The applications of this technology for the AF have very broad potential, including basically in any data communications, such as from aircraft, missiles, UAVs, ground control, satellite data and much else. While it is not usually applicable to data that has been compressed, such as video and images that provide little opportunity to find the patterns needed to generate efficient Codebooks, for the vast majority of telemetry type data AtomBeam has the potential to significantly enhance and speed data communications. Using only software, AtomBeam has the effect of increasing bandwidth to the same degree as much more expensive hardware network upgrades, while providing added benefits to warfighters beyond increasing the speed of data flow. AtomBeam’s CEO, Charles Yeomans, was a Naval Intelligence officer prior to business school, and has a strong appreciation for the potential value of the technology to DoD.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2018–2025). Reported award amounts total $3,586,305. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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