SBIR/STTR Research Award

Machine-learning / Artificial-intelligence Compression for Hypersonics

Award identifier 8b2a6f492e1ccd5d91b28c56c7763f59724e1932e9832cb38e14f383efa2b8d1Awarding agency Department of Defense · Air Force

Award amount

$74,400

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ACME AtronOmatic, LLC
Proposal award date
2024-05-14
Contract end date
2024-08-19
UEI
JCY7Q5SNF8M4
Solicitation number
X24.5
Topic code
AFX245-PCSO2

Research abstract

The USSF is at a critical juncture, needing advanced real-time detection and tracking technologies for hypersonic glide vehicles to counter the escalating threats from nations like China and Russia. The limitations of current technologies, due to their heavy data requirements, hinder timely threat detection and response. This initiative aims to utilize MyRadar's patented intellectual property to fast-track the creation of specialized AI algorithms. These advancements will improve the efficiency of hyperspectral sensors on low-SWaP SmallSats, directly addressing the gap in real-time hypersonic threat tracking. This effort aligns with the USSF’s strategic direction for enhancing Science and Technology processes in space, underpinning the broader goal of ensuring space domain security in the face of Great Power Competition.

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

9 SBIR/STTR records share this UEI (2022–2025). Reported award amounts total $2,533,866. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Commerce, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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