SBIR/STTR Research Award

Streamlining Acquisition Operations with Generative AI-powered Natural Language Search

Award identifier 43fd916dcd0ff39ede46049d2f56a8cbd8fa79932191a2d40fd099bb37d1e3ecAwarding agency Department of Defense · Air Force

Award amount

$72,766

Program and phase

STTR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Kyndi USG LLC
Proposal award date
2023-12-15
Contract end date
2024-03-15
UEI
CXJKVKT2CJA5
Solicitation number
X23.D
Topic code
AFX23D-TCSO1

Research abstract

Kyndi has solved the problem of finding answers in unstructured text by successfully merging Deep Learning Natural Language Processing (NLP) and Symbolic AI into a new AI paradigm called Neuro-Symbolic Language Models (NSLMs). NLSMs overcome the limitations of traditional supervised machine learning systems. The result is an AI platform that is accessible to non-technical people and which can find answers in one-click, but does not require labeled training data or skilled AI engineers, which equates to operational effectiveness (95%+ reduction in analysis time)Ā in weeks, not months or quarters. Implementations only require a list of domain-specific terms to be identified and propagated into the base deep learning large language model. Kyndi leverages some of the same underlying technologies as ChatGPT and can therefore find answers to questions, but Kyndi returns accurate and trustworthy answers verbatim instead of generating a custom response, which will be wrong an appreciable percentage of the time.

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

2 SBIR/STTR records share this UEI (2024). Reported award amounts total $145,997. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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