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Model-Based Systems Engineering (MBSE) and AI/ML Integration

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract for the Department of Defense, specifically the Aflcmc Pzi agency, focuses on transitioning legacy document-based workflows into modular, model-based architectures for prime contractors on NASIC and NSIC projects. The scope involves applying SysML standards to sensor, radar, and threat modeling architectures while integrating Large Language Models and AI/ML-assisted analytic techniques to create automated feature extraction pipelines. The project requires highly specialized personnel, specifically Computer Scientists with TS/SCI clearances, and necessitates a Top Secret Facility Clearance. The primary deliverables include a modular architecture and an AI-integrated analytic pipeline, with a response deadline of October 9, 2026.

General Info

DoD subcontract for AI-integrated model-based architectures requiring TS/SCI cleared computer scientists.

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

OH

Set-Aside

NONE

Documents

This scope was carved out of 2026SANDTIPROTOTYPE.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Modernization of Scientific and Technical Intelligence (SandTI;) Prototype Effort

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8604 Aflcmc Pzi
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Transitions legacy document-based workflows into modular, model-based architectures for prime contractors on NASIC and NSIC projects. Applies SysML standards to threat modeling and sensor/radar architectures. Integrates Large Language Models (LLMs) and AI/ML-assisted analytic techniques to develop automated feature extraction. Requires TS/SCI cleared Computer Scientists and Top Secret Facility Clearance (FCL). Delivers a modular architecture and AI-integrated analytic pipeline.

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