SBIR/STTR Research Award

AI/ML-Enabled Electronics Architecture for Dual-Mode SAL/SWIR Seekers

Award identifier 6fc6061f4b5b17bbbd255e1e09810cec87ec4887cecc70b044edd742a15c9dceAwarding agency Department of Defense · Air Force

Award amount

$1,249,620

Program and phase

SBIR · Phase II

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ATTOLLO ENGINEERING, LLC
Proposal award date
2023-12-08
Contract end date
2026-03-07
UEI
R7JQP2K23WH1
Solicitation number
22.2
Topic code
AF222-0004

Research abstract

Attollo will develop a software-based, hardware?accelerated dual-mode SAL/SWIR algorithm development platform that can leverage the latest in hardware AI/ML and GPU acceleration using an embedded application processor (AP) instead of an FPGA. Attollo will create the high-bandwidth hardware connection to the AP and develop the low?level hardware abstraction interface libraries that will allow algorithm developers to easily interface to the sensor. Attollo will also design and integrate a rugged, dual?FOV lens to enable NFOV long?range passive seeking in addition to WFOV SAL seeking with a single sensor. Attollo will host algorithm developer code on the development platforms and make them available to other Primes for integration into next?generation precision guided munitions.

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

85 SBIR/STTR records share this UEI (2014–2025). Reported award amounts total $59,808,679. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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