A pre-revenue AI-powered SaaS application has been developed to aid businesses in analyzing RFPs, RFQs, and tender documents. This software, aimed at enhancing the proposal process, focuses on extracting actionable tender requirements and filtering out extraneous information. Users can upload their proposals to compare them against the original requirements, identifying any missing or partially addressed items prior to submission. Key features of the platform include RFP requirement extraction, compliance matrices, proposal-vs-RFP comparison, compliance scoring, missing-requirement detection, CSV exports, demo mode, and support for users' own API keys. Currently available as a minimum viable product (MVP) or source-code asset, the software comes with complete application code, user interface, demo environment/data, documentation, and deployment configuration. It offers flexibility for rebranding, extending, or commercializing as a standalone SaaS product. Designed for those involved in tender and proposal preparation, the software targets proposal-writing firms, procurement consultants, government contractors, B2B companies, procurement software providers, and SaaS founders interested in white-label solutions. Built with Python, Flask, SQLite, HTML/CSS/JavaScript, PyPDF, and python-docx, the application integrates with the OpenAI API and supports both operator-provided API keys and user-supplied credentials. It is lightweight and ready for deployment in Python hosting environments. The asset has no paying customers or revenue at present and is offered based on its technology, product concept, codebase, and potential for commercialization, rather than historical revenue achievements.