Venture

AI-Powered Proposal Generation for Government Contractors

PropelAI automates the proposal lifecycle using an APMP-aligned capture methodology, advanced NLP, and graph-based compliance extraction. It reads complex RFPs, extracts requirements across multiple documents, and generates compliant, high-quality proposal drafts.

The Problem

Government proposals are complex, compliance-heavy, and time-consuming. Firms spend hundreds of hours on each RFP response, with inconsistent quality and frequent compliance gaps. Traditional approaches rely on manual review that misses requirements and produces inconsistent outputs.

The Solution

PropelAI automates the proposal lifecycle using an APMP-aligned capture methodology, advanced NLP, and graph-based compliance extraction. It reads complex RFPs, extracts requirements across multiple documents, and generates compliant, high-quality proposal drafts β€” achieving 95%+ extraction accuracy and 87/100 quality scores.

How It Works

The PropelAI Pipeline

From RFP ingestion to quality-scored proposal drafts β€” an end-to-end automated workflow.

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Step 1

RFP Ingestion

Multi-document upload and parsing across complex RFP packages.

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Step 2

Requirement Extraction

AI-powered extraction of compliance requirements with 95%+ accuracy.

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Step 3

Compliance Mapping

Graph-based mapping of requirements to organizational capabilities.

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Step 4

Draft Generation

Automated proposal drafts using APMP-aligned capture methodology.

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Step 5

Quality Scoring

Autonomous quality assessment scoring 87/100 on generated proposals.

Results

Performance Metrics

0%+
Compliance Extraction
0/100
Quality Score
0%
Previous Baseline
Technology

Built With

n8n Workflows
Claude AI
RAG Architecture
Graph-Based Processing
APMP-Aligned Process
Multi-Document NLP
Origin

Why I Built PropelAI

After years of leading proposal efforts across government contracts worth hundreds of millions of dollars, I saw the same painful pattern repeat: talented teams spending weeks manually reviewing RFPs, cross-referencing compliance requirements across multiple documents, and producing inconsistent draft responses.

The process was ripe for AI transformation. PropelAI was born from the belief that the proposal process should be a competitive advantage, not a bottleneck. By combining the APMP-aligned capture methodology with modern AI β€” Claude for generation, RAG for knowledge retrieval, and graph-based processing for compliance mapping β€” we've built a platform that achieves near-perfect compliance extraction and dramatically accelerates the proposal lifecycle.

PropelAI represents what I love most: taking a real operational problem and building a technology solution that actually works.