SBIR/STTR Research Award

AVEO (Artificial-Intelligence Voice Enhanced Operations) for AWACS

Award identifier 0a1a3683fe7026132162d01ee65c8ba9e004141a6415f1b650d1cd9a1784be7aAwarding agency Department of Defense · Air Force

Award amount

$992,845

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
GLOBAL AIR LOGISTICS AND TRAINING, INC.
Proposal award date
2022-03-15
Contract end date
2023-09-15
UEI
RJ58ZBJJFWK5
Solicitation number
21.2
Topic code
AF212-D003

Research abstract

GALT has formed the AVEO Team with AWS (Amazon Web Services), NLP (Natural Language Processing) subject matter experts, UCSD’s Qualcomm Institute, and the 552nd Air Control Wing (AWACS) to utilize the resident expertise of our software engineering teams and warfighters subject matter expertise on state-of-the-art applications, cloud-based processing and data security solutions. GALT’s combined key personnel include former USAF C2 professionals and software experts in cognitive services and big data processing, C2 applications and artificial intelligence. Ultimately, AVEO Phase II is about refining the solution to make AI real, today and to showcase across the Command and Control enterprise the multitude of additional use cases possible. AVEO is a flexible, voice and speech based, query system that creates dynamic, on demand, relevant information for the Air Battle Manager operator and decision maker. AVEO can access information across the multi-domain battlespace. The warfighter software tools of today are a highly complex set of independent and interdependent software systems to plan and execute air, land, sea, subsurface, space and cyber wars. These systems ingest many sources of data, and the need for timely and accurate retrieval of this data can often be thwarted by cumbersome and slow processes. AVEO (a) provides a much more reliable record of dialogue between pilots and Air Battle Managers, (b) significantly reduces potential for human error in Multi-Domain Command and Control decision making, and (c) creates a solid base of information and programming that can be implemented into more advanced AI and ML based applications and software going forward.

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

5 SBIR/STTR records share this UEI (2021–2024). Reported award amounts total $7,179,391. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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