SBIR/STTR Research Award

Powering a Natural Language-Enabled Air Force

Award identifier 3554104a77178d9367b8cc1288c6ffdfb0f4e83217609c0ce7b297d9b87727feAwarding agency Department of Defense · Air Force

Award amount

$749,703

Program and phase

SBIR · Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
KYNDI INC
Proposal award date
2022-07-23
Contract end date
2023-10-23
UEI
XDJ9K6R8ZNN3
Solicitation number
X21.2
Topic code
AF212-CSO1

Research abstract

The development work under this SBIR involves enhancements to engineer, extend, tune, and optimize DAF-specific language models; design and develop a data pipeline; create and run a natural language processing (NLP) benchmark; and further modifications to the user interface to reflect user feedback. Training DAF-specific models for this SBIR will improve the performance (i.e., precision and recall). Improved performance will increase the speed of finding critical intelligence in IIRs and MISREPS, leading to faster turnaround times for mission planning processes. Kyndi will design and develop a data pipeline as needed, given the importance of up-to-date information. Additionally, Kyndi will create an NLP benchmark for testing, benchmarking, model monitoring, and acceptance testing. Furthermore, Kyndi will modify the user interface to reflect user feedback for accelerated analysis of IIRs and MISREPS.

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

6 SBIR/STTR records share this UEI (2022–2025). Reported award amounts total $2,918,448. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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