📊 AI VC Due Diligence Agent Team

A multi-agent AI pipeline for startup investment analysis, built with Google ADK, Gemini 3 Pro, Gemini 3 Flash and Nano Banana Pro.

Works with any startup - from early-stage unknowns to well-funded companies. Just provide a company name, website URL, or both.

Features

• 🔍 Live Research - Real-time web search for company and market data
• 🌐 URL Support - Analyze any startup by their website URL
• 📈 Revenue Charts - Bear/Base/Bull projection charts with matplotlib
• 🧠 Deep Risk Analysis - Comprehensive risk assessment across 5 categories
• 📄 Professional Reports - McKinsey-style HTML investment reports
• 🎨 Visual TL;DR - AI-generated infographic summary for quick review

What It Does

Given a startup name or URL, the pipeline automatically:

1. Researches the company - Founders, funding, product, traction
2. Analyzes the market - TAM/SAM, competitors, positioning
3. Builds financial models - Revenue projections, unit economics
4. Assesses risks - Market, execution, financial, regulatory, exit
5. Generates investor memo - Structured investment thesis
6. Creates HTML report - Professional due diligence document
7. Generates infographic - Visual summary for quick review

Quick Start

1. Clone & Navigate

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/advanced_ai_agents/multi_agent_apps/agent_teams/ai_vc_due_diligence_agent_team

2. Set Environment

export GOOGLE_API_KEY=your_api_key
# Or create .env file:
echo "GOOGLE_API_KEY=your_api_key" > .env

3. Install & Run

pip install -r requirements.txt
adk web

4. Try It

Works with company names, URLs, or both:

Open http://localhost:8000 and try:

• "Analyze https://agno.com for Series A investment of $30-50M"
• "Research Genspark AI for its next funding round"
• "Analyze Lovable for Series C funding opportunities"
• "Research emergent.sh for Series B funding in the $40-60M range"

Pipeline Architecture

User Query: "Analyze https://agno.com for Series A"
    │
    ▼
┌─────────────────────────────────────────────────────────────────┐
│              DueDiligencePipeline (SequentialAgent)             │
│                                                                 │
│  ┌─────────────┐    ┌────────────────┐    ┌──────────────────┐  │
│  │  Stage 1    │    │    Stage 2     │    │     Stage 3      │  │
│  │  Company    │───▶│    Market      │───▶│    Financial     │  │
│  │  Research   │    │    Analysis    │    │    Modeling      │  │
│  └─────────────┘    └────────────────┘    └──────────────────┘  │
│         │                   │                      │            │
│         ▼                   ▼                      ▼            │
│  ┌─────────────┐    ┌────────────────┐    ┌──────────────────┐  │
│  │  Stage 4    │    │    Stage 5     │    │     Stage 6      │  │
│  │    Risk     │───▶│   Investor     │───▶│     Report       │  │
│  │ Assessment  │    │     Memo       │    │    Generator     │  │
│  └─────────────┘    └────────────────┘    └──────────────────┘  │
│                                                    │            │
│                                                    ▼            │
│                                          ┌──────────────────┐   │
│                                          │     Stage 7      │   │
│                                          │   Infographic    │   │
│                                          │    Generator     │   │
│                                          └──────────────────┘   │
└─────────────────────────────────────────────────────────────────┘
    │
    ▼
Artifacts: revenue_chart.png, investment_report.html, infographic.png

---

Agent Details

Stage 1: Company Research Agent

Purpose: Gathers comprehensive company information through web search.

Property	Value
Model	gemini-3-flash-preview
Tools	google_search
Output Key	company_info

What it researches:

• Company Basics - What they do, founding date, HQ location, team size
• Founders & Team - Key people, backgrounds, LinkedIn profiles
• Product/Technology - Core offering, how it works, target customers
• Funding History - Rounds raised, investors, amounts
• Traction - Customers, partnerships, growth signals
• Recent News - Press coverage, product launches, announcements

For early-stage startups: Checks website, LinkedIn, Crunchbase, AngelList, founder interviews, and notes when information is limited.

---

Stage 2: Market Analysis Agent

Purpose: Analyzes market size, competition, and positioning.

Property	Value
Model	gemini-3-flash-preview
Tools	google_search
Input	{company_info}
Output Key	market_analysis

What it analyzes:

• Market Size - TAM, SAM, growth rate from industry reports
• Competitors - Who else is in the space, their funding/traction
• Positioning - How the company differentiates
• Trends - Market drivers, emerging tech, regulatory changes

For early-stage: Focuses on broader market category, identifies well-funded competitors, looks for market validation signals.

---

Stage 3: Financial Modeling Agent

Purpose: Builds revenue projections and generates financial charts.

Property	Value
Model	gemini-3-pro-preview
Tools	generate_financial_chart
Input	{company_info}, {market_analysis}
Output Key	financial_model

What it calculates:

• Current Metrics - Estimated ARR, growth stage
• Growth Scenarios (5-year projections):
  • Bear Case: Conservative growth rates
  • Base Case: Expected trajectory
  • Bull Case: Optimistic scenario
• Return Analysis - Exit valuations, MOIC, IRR estimates

Stage benchmarks:

• Seed: $0.1-0.5M ARR, 3-5x growth
• Series A: $1-3M ARR, 2-3x growth
• Series B: $5-15M ARR, 1.5-2x growth

Artifact: Saves revenue_chart_TIMESTAMP.png with Bear/Base/Bull projections.

---

Stage 4: Risk Assessment Agent

Purpose: Conducts deep risk analysis across multiple categories.

Property	Value
Model	gemini-3-pro-preview
Tools	None (extended reasoning)
Input	{company_info}, {market_analysis}, {financial_model}
Output Key	risk_assessment

Risk categories analyzed:

1. Market Risk - Competition, timing, adoption barriers
2. Execution Risk - Team gaps, technology challenges, scaling
3. Financial Risk - Burn rate, fundraising, unit economics
4. Regulatory Risk - Compliance, legal, geopolitical
5. Exit Risk - Acquirer landscape, IPO viability

For each risk provides:

• Severity (Low/Medium/High/Critical)
• Description with evidence
• Mitigation strategy

Final output:

• Overall Risk Score (1-10)
• Top 3 risks that could kill the investment
• Recommended protective terms

---

Stage 5: Investor Memo Agent

Purpose: Synthesizes all findings into a structured investment memo.

Property	Value
Model	gemini-3-pro-preview
Tools	None
Input	All previous stages
Output Key	investor_memo

Memo structure:

1. Executive Summary - Company one-liner, recommendation, key highlights
2. Company Overview - What they do, team, product/technology
3. Funding & Valuation - History, estimated valuation range
4. Market Opportunity - Size, growth, competitors, differentiation
5. Financial Analysis - Revenue, unit economics, runway
6. Risk Analysis - Top risks with severity, overall score
7. Investment Thesis - Why invest, concerns, return scenarios
8. Recommendation - Final verdict, suggested next steps

Recommendations: Strong Buy / Buy / Hold / Pass

---

Stage 6: Report Generator Agent

Purpose: Creates a professional HTML investment report.

Property	Value
Model	gemini-3-flash-preview
Tools	generate_html_report
Input	{investor_memo}
Output Key	html_report_result

Report features:

• McKinsey/Goldman Sachs styling
• Dark blue (#1a365d) and gold (#d4af37) color scheme
• Executive summary at top
• Clear section headers with professional typography
• Data tables for metrics
• Print-friendly layout

Artifact: Saves investment_report_TIMESTAMP.html viewable in any browser.

---

Stage 7: Infographic Generator Agent

Purpose: Creates a visual summary infographic using AI image generation.

Property	Value
Model	gemini-3-flash-preview
Tools	generate_infographic (uses gemini-3-pro-image-preview)
Input	{investor_memo}
Output Key	infographic_result

Infographic includes:

• Company name prominently displayed
• Key metrics in large, bold numbers
• Market size visualization
• Risk score indicator (1-10 scale)
• Investment recommendation badge
• Professional investment banking aesthetic

Artifact: Saves infographic_TIMESTAMP.png for quick visual review.

---

Project Structure

ai_due_diligence_agent/
├── __init__.py        # Exports root_agent
├── agent.py           # All 7 agents + pipeline defined here
├── tools.py           # Custom tools (chart, report, infographic)
├── outputs/           # Generated artifacts saved here
├── requirements.txt   # Python dependencies
└── README.md          # This file

Generated Artifacts

All artifacts are saved to the Artifacts tab in ADK web and the outputs/ folder:

outputs/
├── revenue_chart_20260104_143030.png       # Financial projections
├── investment_report_20260104_143052.html  # Full HTML report
└── infographic_20260104_143105.png         # Visual TL;DR

Artifact	Format	Description
Revenue Chart	PNG	Bear/Base/Bull 5-year projections
Investment Report	HTML	Full due diligence document
Infographic	PNG/JPG	Visual summary one-pager

---

ADK Features Demonstrated

Feature	Usage
SequentialAgent	7-stage pipeline orchestration
LlmAgent	All specialized agents
google_search	Real-time company/market research
Custom Tools	Chart generation, HTML reports, infographics
Artifacts	Saving and versioning generated files
State Management	Passing data between pipeline stages via output_key
Multi-modal Output	Text analysis + image generation

Models Used

Agent	Model	Why
CompanyResearch	gemini-3-flash-preview	Fast web search
MarketAnalysis	gemini-3-flash-preview	Fast web search
FinancialModeling	gemini-3-pro-preview	Complex calculations
RiskAssessment	gemini-3-pro-preview	Deep reasoning
InvestorMemo	gemini-3-pro-preview	Synthesis quality
ReportGenerator	gemini-3-flash-preview	Fast HTML generation
InfographicGenerator	gemini-3-flash-preview	Orchestration
Infographic Tool	gemini-3-pro-image-preview	Image generation

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Learn More

• Google ADK Documentation
• Multi Agent Patterns in ADK
• Gemini API
• Gemini Image Generation