OpenThesis — AI Company Research

OpenThesis is an open-source, evidence-first research workbench designed for analyzing public companies. Key features include: • Grounds analysis in official financial filings • Employs deterministic code for all financial calculations • Utilizes specialized agents for focused reasoning • Supports US, A-share, and Hong Kong markets • Provides traceable research with verifiable sources This workbench ensures that every number is tied to its origin, including source URL, page, period, unit, scope, and currency. It prioritizes factual evidence, maintaining that if a fact doesn't pass its rigorous quality gate, the gap is highlighted rather than being filled with assumptions. This approach separates opinion from arithmetic, ensuring robust and transparent financial analysis. OpenThesis empowers users to conduct in-depth company research by integrating diverse disclosures from SEC EDGAR, XBRL, HKEX, and CNINFO into a single, cohesive workflow. It’s built for financial analysts, investors, and researchers who demand precision and verifiability in their company assessments. The platform supports multiple providers, allowing for flexible research strategies while always maintaining a clear, auditable path back to the original documentation. This tool is ideal for anyone looking to build a sound investment thesis based on solid data.