SBIR/STTR Research Award

AI-Assisted GEOINT Analysis To Enable Rapid Decision Making for Disaster Response

Award identifier 9baf00e0148212535008b3089eca1302c3b00f406664d25e08b7f120470c08ceAwarding agency Department of Defense · Air Force

Award amount

$2,500,000

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
CROWDAI, INC.
Proposal award date
2020-07-15
Contract end date
2022-01-15
UEI
LXLYMNQGEVG7
Solicitation number
DoD SBIR X19.2
Topic code
AF193-DCSO1

Research abstract

The Air Force (AF) relies on myriad sources of imagery and GEOINT data, both government and commercial, to support warfighter and command decision making. However, the daily take is such that the AF, and Department of Defense (DoD) broadly, suffers from data overload. CrowdAI’s machine learning technology enables the AF and DoD not only to leverage all of this data, but to analyze it rapidly to provide near-real-time situational awareness, rather than leaving it on the cutting room floor. To remedy similar data problems in the commercial market, CrowdAI created cutting-edge machine learning (ML) algorithms to automatically detect features from imagery and video collected by satellites, aircraft, drones, and other platforms. Where change occurs due to natural or man-made causes, CrowdAI can apply their algorithms to more rapidly track and understand this change.

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

10 SBIR/STTR records share this UEI (2019–2023). Reported award amounts total $4,192,661. 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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