Project Veritas

Project Veritas is a professional-grade intelligence engine designed to automate the high-stakes workflow of Private Equity due diligence. Traditional due diligence takes weeks of manual data gathering and subjective debate; Veritas reduces this to sub-minute cycles without sacrificing rigor. The system operates in four specialized phases: High-Fidelity Extraction: Using custom Python tools, it pulls TTM (Trailing Twelve Months) financials via yfinance and SEC EDGAR, ensuring a "ground truth" data layer. Peer-Set Benchmarking: It dynamically generates CapIQ-style peer groups to validate valuation multiples and industry-standard margin parity. Institutional RAG: A ChromaDB layer, indexed with 40+ institutional finance textbooks, ensures all mathematical derivations (DCF, Multiples, QofE) follow strict industry methodologies. Multi-Agent IC Debate: The core innovation is an adversarial debate between a "Deal Champion" (Bull) and a "Risk Partner" (Bear). They challenge each other’s assumptions on forensic red flags and quality of earnings, arriving at a final, defensible Investment Committee (IC) verdict. By offloading the "heavy lifting" to a multi-agent swarm, Veritas allows analysts to focus on high-level strategy while maintaining an audit trail of every decision.