Tech & Startup Due Diligence

This book introduces a structured approach to startup due diligence that integrates both quantitative and qualitative factors. It is organized into ten chapters, each focusing on a core dimension of the evaluation process:

1. Foundations of Tech & Startup Due Diligence - Understanding the purpose, scope, and types of diligence, with a focus on SaaS, marketplaces, AI, and deep tech.
2. Product & Technology Stack Evaluation - Assessing architecture, code quality, scalability, IP, and defensibility.
3. SaaS Business Fundamentals - Evaluating recurring revenue models, pricing strategies, and customer success mechanisms.
4. AI & Data-Driven Startups - Examining data assets, model architecture, performance metrics, and regulatory compliance.
5. Market, Competition & Customer Validation - Analyzing market size, competitive moats, and customer feedback.
6. Management, Governance & Organizational Maturity - Evaluating founders, teams, and governance structures.
7. Financial Health & Unit Economics - Reviewing revenue quality, cost structure, cash flow, and scenario analysis.
8. Legal, Regulatory & IP Risk Review - Conducting contract, liability, IP, and compliance assessments.
9. Operational, Commercial & Scale-Up Readiness - Assessing infrastructure, sales engines, customer success, and international expansion risks.
10. Valuation, Deal Structuring & Investment Decisions - Applying valuation frameworks, term sheet analysis, and post-diligence decision-making.