SBIR/STTR Research Award
Artificial Intelligence-based Recommender for Model-Based Systems Engineering (ARMS)
Award amount
$149,993Program and phase
STTR · Phase IAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- NEXCEPTA INC
- Proposal award date
- 2022-11-23
- Contract end date
- 2023-05-22
- UEI
- GKQPK2E8N4Z6
- Solicitation number
- 22.B
- Topic code
- MDA22-T002
Research abstract
There is a critical need for innovative recommendation technology for digital data engineering artifacts and tools. To address this need, we propose design and implement the Artificial Intelligence-based Recommender System for Model-Based Systems Engineering (ARMS) software as a user-personalized context-aware content recommender system solution for Model Based Systems Engineering (MBSE) applications with novel artificial intelligence algorithms. The key innovation is to offer a complete Software-as-a-Service solution that can process multimodal data across different databases, provide high-quality personalized recommendations using novel machine learning techniques. Approved for Public Release | 22-MDA-11339 (13 Dec 22)
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.
- RAPIDS: Robotic Autonomous Platform Sensors for Intelligent Distributed Bridging Operations
- BEACON: Better Evaluation and Assessment for Comprehensive Mental Health Outcomes and Navigation
- TACTICS: Toolkit using LLM Agents for Enhanced Cyber & Electromagnetic Operations
- Text-Guided Diffusion Models for Robust RF Signal Generation (DiffusionRF)
- Signal Processing for Interference-Resilient Underlay Communication Links (SPIRAL)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- DR WATSON II: Document Recommender With Adaptively Tailored Sensing of Needs
- Artificial Intelligence-based Recommender for Model-Based Systems Engineering (ARMS)
- Recommendation Technology for Digital Engineering Artifacts
- DR WATSON: Document Recommender With Adaptively Tailored Sensing of Needs
Research funding history
16 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $5,851,188. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense