ARIA: AI-Enhanced Requirements and Integration Assistant Building an LLM Hybrid Reasoner as a Prototype System Engineering

ARIA represents a transformative approach to NASA's Systems Requirements Review (SRR) process by developing an AI-enhanced copilot that transitions from document-driven to architecture-driven milestone reviews. The system leverages Large Language Models (LLMs), Model-Based Systems Engineering (MBSE), and semantic reasoning to provide immediate, comprehensive responses to SRR questions while maintaining rigorous standards. ARIA will integrate with MagicDraw MBSE tools to create a knowledge base that maps success criteria to system architecture models, enabling more efficient, consistent, and thorough milestone reviews across NASA missions.

Develops ontology-based reasoning system for SE Copilot integration using First Order Logic representations; Creates semantic logical models tied to MBSE object-based representations for project success criteria; Builds cloud-based reasoning enclave supporting LLM classification and expert validation processes

This is a mature technology (TRL 7+) — the realistic path in is usually NASA's Technology Transfer Program: licensing an existing NASA patent, or a Space Act Agreement to use NASA facilities/expertise directly. NASA also runs a startup licensing program with no upfront fee for companies formed to commercialize a specific NASA technology.

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