SBIR/STTR Research Award

Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need

Award identifier 4fabeaf63e8878232e24ae8abd55763c9a69d6cee470e326183e1b932f1dfeacAwarding agency Department of Defense · Air Force

Award amount

$699,250

Program and phase

SBIR · Phase II

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Chooch Intelligence Technologies Co.
Proposal award date
2019-08-02
Contract end date
2021-08-02
UEI
KDZNTGFFURB3
Solicitation number
19.1
Topic code
AF191-005

Research abstract

Chooch Intelligence Technologies has built a new generation of interconnected neural networks for visual recognition, perception libraries. This new generation of networks makes AI scalable and more accessible to companies and people. Chooch solves training and predictions bottlenecks in AI by integrating different types of deep learning frameworks, models, classes, and neural networks to attain very high identification accuracy. Chooch’s perception libraries have solved the below problems in artificial intelligence for training and predictions. - Manual data collection and cleaning process - Neural network models fail with high volume training - Quality of results vary between models and objects - Models do not work outside of strict context Chooch has addressed and solved for these problems, making visual AI scalable and usable by large enterprises and small developers alike.

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

3 SBIR/STTR records share this UEI (2019–2020). Reported award amounts total $859,308. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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