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LSUBP00004 Information Warfare Research Project 3 (IWRP-3), Project Number 26-LANT-2974 MBSE with AI Plug-In Prototype (C)

Active
Federal

Contract Overview

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NIWC Atlantic is seeking information for the Information Warfare Research Project 3 regarding a prototype AI plug-in for Cameo Systems Modeler. The objective is to integrate Generative AI and GPT technology into SysML and UAF workflows to automate requirements analysis, model element creation, and documentation generation. The agency is looking for qualified vendors with a proven track record in the defense or government sector who can provide a robust plugin capable of fine-tuning large language models with domain-specific knowledge, such as MIL-STD requirements and DoD architectures. Key requirements include seamless integration with existing MBSE toolchains, the ability to manage various UAF viewpoints, and a clear strategy for data security and government regulatory compliance. The project aims to reduce development lifecycles and costs while improving system reliability. Interested parties should be prepared to address plugin architecture, compatibility across Cameo versions, and the provision of training and enablement programs for NIWC engineers.

General Info

NIWC Atlantic seeks an AI plug-in for Cameo to automate SysML and UAF workflows.

NAICS

541511 - Custom Computer Programming Services

Place of Performance

Charleston, SC, USA

Set-Aside

NONE

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Organization & Contact Information

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AgencyNaval Information Warfare Systems → Niwc Atlantic
Contacts2 people available
OfficeN/A
Office AddressN/A
Contacts
Anthony A. BerkosContracting Officer
Kristopher GarrisSecondary Point of Contact

Full Description

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NIWC is exploring the potential of integrating Generative AI, specifically GPT technology, into our Cameo Systems Modeler (SysML) workflows to optimize efficiency, improve data integrity, and enhance collaboration across project teams. We are seeking information from qualified vendors capable of providing a robust and integrated Cameo SysML plugin that leverages GPT for tasks such as requirements analysis and generation, automated model element creation and validation (including the generation of UAF viewpoints and SysML diagrams), and streamlined documentation generation directly within the Cameo environment. We aim to identify partners who can demonstrate a proven track record of success in developing and deploying AI-driven Cameo SysML plugins that specifically support both SysML and UAF modeling, ideally within the defense or government contracting sector.
This Request for Information (RFI) is intended to gather insights into potential Cameo SysML plugin solutions that can seamlessly integrate with our existing MBSE toolchain and data architecture, with a particular focus on generating and managing UAF models. We are particularly interested in understanding how vendors can fine-tune LLMs with domain-specific knowledge (e.g., MIL-STD requirements, DoD architectures, UAF metamodel) to ensure optimal performance and accuracy in both SysML and UAF contexts. Furthermore, we seek clarity on plugin architecture and compatibility with various Cameo versions, the ability to generate and manage UAF viewpoints (e.g., Strategic, Operational, System), training and enablement programs for NIWC engineers focused on both SysML and UAF with AI assistance, ongoing support and maintenance strategies, and approaches to ensuring data security and compliance with relevant government regulations . Ultimately, our goal is to identify a partner who can enable us to achieve significant improvements in our system development lifecycle, reducing time-to-market, optimizing costs, and increasing the overall quality, security, and reliability of our systems developed using Cameo Systems Modeler, with seamless support for both SysML and UAF modeling paradigms.

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Testing Laboratories and Services

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