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ReqPilot by Airquire

Elevate Your Requirements, Accelerate Your Flight.

Welcome to the documentation for ReqPilot, Airquire’s agentic system for aerospace engineering requirements validation.
This page is designed for both functional and technical experts who want a rapid, high-level understanding of the project and its value.

What is ReqPilot?

🚀 Elevator Pitch

ReqPilot by Airquire is revolutionizing aerospace engineering compliance by automating requirements validation. Our AI-powered platform ingests complex technical specifications and engineering responses, then uses advanced natural language understanding to identify gaps, misalignments, and ambiguities. Unlike traditional manual processes that take weeks, ReqPilot delivers comprehensive validation in minutes, reducing rework by 60% and accelerating development cycles. With Airquire, aerospace engineers can focus on innovation rather than documentation.

ReqPilot automates the validation of complex aerospace requirements, reducing manual effort, accelerating compliance, and minimizing costly rework.
It leverages Google Cloud Platform (GCP), Vertex AI, and the Google Agent Development Kit (ADK) to ingest, analyze, and cross-reference requirements and engineering responses.

🎬 Hackathon 2025 - Demo

Key Features

Automated Requirement Extraction from PDFs and IBM DOORS
Natural Language Understanding to interpret and refine requirements
Gap Analysis between requirements and engineering responses
Validation Reporting with actionable remediation suggestions
Traceability across all requirement sources and responses

Architecture Overview

See: README.md

Frontend: Angular + Material UI
Backend: Python, Google ADK, Vertex AI, Cloud Run
Data Sources: IBM DOORS, PDF documents (synthetic data generated using Vertex AI), Cloud Storage
LLMs Models: Gemini 2.5 Pro
Deployment: Vertex AI Agent Engine, Cloud Run, Cloud Storage