We are looking to develop (or license and customize) an AI-based RFP automation tool specifically designed for complex EPC (Engineering, Procurement & Construction) tenders. The system should be capable of: • Reading and understanding large, complex EPC RFP documents (PDF/DOC, including scanned documents if possible) • Identifying and highlighting key risk clauses such as Liquidated Damages (LD), Force Majeure, payment terms, termination clauses, indemnity, guarantees, penalties, etc. • Generating structured and well-formatted pre-bid queries based on ambiguities or high-risk clauses • Extracting Bill of Quantities (BOQ) tables and converting them into structured, pricing-ready Excel formats • Providing structured outputs in downloadable formats (Excel/JSON/Doc) We are interested in LLM-based architecture (OpenAI / Claude or similar), contract intelligence frameworks, Document AI solutions, and robust backend system design. Please include in your proposal: Proposed architecture and technology stack LLM strategy (model selection, prompting, fine-tuning if required) Handling of large documents and token limits Approach to clause classification and risk detection BOQ table extraction methodology Data security considerations Estimated timeline and cost breakdown Experience in contract analysis, legal-tech AI, RFP automation, or document intelligence platforms will be highly preferred. This is expected to be a structured, milestone-based project with potential for long-term collaboration.