Winbid AI
An intelligent proposal generation system leveraging multiple AI/LLMs to automate RFP responses and create professional bid documents from government procurement sources.
Key Challenges
- Implementing multi-source RFP aggregation with web scraping from SAM.gov, OpenGov, DemandStar, and Bonfire APIs with different authentication methods and data formats
- Building a multi-agent AI pipeline using multiple LLMs (Grok, DeepSeek, Llama) for intelligent proposal generation with scope analysis, solution generation, and document creation
- Handling complex document parsing for PDFs, DOCX, and Excel files to extract RFP requirements and generate structured proposals
- Implementing real-time progress tracking with Socket.io for long-running AI document generation tasks with cancellation support
- Creating a dynamic proposal builder with section-by-section AI regeneration, content improvement, and professional DOCX export with custom templates
Key Learnings
- Mastered multi-agent AI architecture patterns using multiple LLMs (Grok, DeepSeek, Llama) for complex document generation workflows
- Gained deep experience with government procurement APIs (SAM.gov, OpenGov, DemandStar, Bonfire) including authentication, rate limiting, and data transformation
- Learned advanced document processing techniques for parsing and generating professional DOCX documents with custom templates
- Implemented sophisticated real-time communication with Socket.io for progress tracking and operation cancellation
- Developed expertise in template management systems for different proposal types and client requirements
Overview
Winbid AI is an intelligent proposal generation system that leverages multiple AI/LLMs including Grok, DeepSeek, and Llama to automate RFP responses and create professional bid documents. The platform aggregates government contract opportunities from SAM.gov, Bonfire, DemandStar, and OpenGov, providing businesses with a streamlined workflow for discovering opportunities and generating winning proposals automatically.
Key Features
Multi-Agent AI Pipeline
Intelligent proposal generation using multiple LLMs (Grok, DeepSeek, Llama) for scope analysis, solution generation, blueprint creation, and final document production.
Automated RFP Discovery
Aggregates and normalizes RFP data from SAM.gov, Bonfire, DemandStar, and OpenGov with advanced filtering and search capabilities.
Professional DOCX Generation
Creates polished proposal documents with custom templates, company branding, and professional formatting ready for submission.
Real-Time Progress Tracking
WebSocket-based live updates during AI document generation with operation cancellation support and instant UI feedback.
Section-by-Section AI Improvement
Granular control over AI-generated content with the ability to regenerate or improve individual sections based on specific requirements.
Template Management
Flexible template system supporting different proposal types, industries, and client requirements for consistent, professional outputs.
Technical Implementation
The platform is built on a React frontend with a Node.js/Express backend and MongoDB for data persistence. The AI system uses a multi-agent pipeline leveraging multiple LLMs (Grok, DeepSeek, Llama) for different stages of proposal generation. Puppeteer handles web scraping for RFP aggregation, while Socket.io enables real-time communication for progress tracking during long-running AI operations.
- Multi-LLM Integration: Leverages Grok, DeepSeek, and Llama models for different aspects of proposal generation and content optimization
- Automated RFP Scraping: Puppeteer-based web scraping from SAM.gov, Bonfire, DemandStar, and OpenGov with data normalization
- Real-Time WebSockets: Socket.io for bidirectional communication enabling live progress tracking and operation cancellation
- Document Generation: Professional DOCX output with custom templates, company logos, and structured formatting
- Template System: Flexible template management for different proposal types and client requirements