SBIR/STTR Research Award
Enabling Multi-Lingual Intelligence Analysis across USAF with Generative AI-powered Natural Language Search
Award amount
$74,822Program and phase
STTR · Phase IAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- KYNDI INC
- Proposal award date
- 2023-05-05
- Contract end date
- 2023-08-07
- UEI
- XDJ9K6R8ZNN3
- 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 limitatio
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.
- Empowering Air Force with Large Language Model-powered Agentic RAG
- Powering a Natural Language-Enabled Air Force
- Empowering Air Force with Large Language Model-powered Retrieval Augmented Generation
- Powering a Natural Language-Enabled Air Force
- Reading Automation for Air Force Digital Transformation
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Radiation Threat Mitigation System to Enhance Resilient, Rapidly Deployable Proliferated Warfighter Space Architectures
- Streamlining Acquisition Operations with Generative AI-powered Natural Language Search
- NEXT GENERATION SOFTWARE SUPPLY CHAIN SECURITY
- Efficient and Reliable Multi-kernel Plasma Ignitor for Hypersonic Scramjets
- Machine Learning Security (MLSec) Attack Workbench For Red Teaming Of Autonomous Assets
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