Explore This Research Award in CaptureIQ
Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.
Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- DISCOVERY MACHINE INC
- Proposal award date
- 2024-09-04
- Contract end date
- 2026-09-16
- UEI
- JJ9BBEJC9K18
- Solicitation number
- 24.4
- Topic code
- A244-020
Research abstract
Discovery Machine®, Inc. proposes a novel approach to the preparation of Acquisitions Requirement Packages (ARP). In this approach Discovery Machine shall work on combining emerging generative AI techniques with proven symbolic AI representing human subject matter expertise. In prior development efforts, Discovery Machine has demonstrated the feasibility of applying this approach to processing of unstructured text, conversion into structured object representations, and use of those structured representations to produce requirements for development of training systems. This proposal outlines a plan to extend these capabilities to the broader Acquisitions Requirements Package (ARP) development process, leveraging subject-matter expertise from experts in the domain of US Army acquisitions. This expertise shall be combined with generative AI techniques to automatically process prior contract examples, changes to the FAR/DFAR, as well as documentation on the Army’s acquisition process. This shall assist human users in the generation of ARP materials. In this project, Discovery Machine shall develop an AI-driven ARP Advisor System. This system will include data stores of US Army acquisitions doctrine as well as existing acquisitions requirement packages and contracts which will leverage natural language embeddings to index the semantic data contained within. Discovery Machine shall work with human subject matter experts (SMEs) from the US Army Acquisitions community to capture critical mental models of the acquisitions process. The AI ARP Advisor will use these mental models within a symbolic AI framework to represent the reasoning strategies used by experts in the field of acquisitions. The system will then combine them with advanced natural language processing capabilities to provide an AI Advisor to acquisitions specialists to significantly expedite the creation of new ARPs.Discovery Machine shall apply its proven knowledge capture process to develop a novel AI solution to ARP preparation, leveraging its extensive history of developing successful AI for the DoD. This automation of the ARP generation process will lead to quicker awards, fewer protests, and better contracts that more directly address the needs of the Army. Novices in the field of Army acquisitions will benefit from the encoded knowledge of experts with years of experience, as well as the Army’s library of documentation on the ARP development process; more experienced acquisition personnel will benefit from the AI ARP Advisor’s thorough review of documents. After contract award, Discovery Machine’s solution can provide support in: monitoring the contract, automating report processing, and verifying that work completed matches the original requirements of the ARP.
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
29 SBIR/STTR records share this UEI (2000–2024). Reported award amounts total $18,413,042. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Science Foundation, National Aeronautics and Space Administration
Agency intelligence
Department of Defense
Back to SBIR/STTR Research Awards