Open Revenue

Open Revenue is a next-generation revenue intelligence platform that disrupts the traditional walled gardens of B2B data. Built on an AI-native architecture, it utilizes large language models (LLMs) and Bayesian estimation algorithms to synthesize unstructured data from SEC filings, job boards, social signals, and historical growth patterns into highly accurate revenue estimates for private companies. Unlike static databases like ZoomInfo or Dun & Bradstreet, Open Revenue operates on a 'live-crawl' methodology, providing real-time updates on headcount fluctuations and funding rounds that impact purchasing power. By 2026, Open Revenue has positioned itself as the primary data layer for autonomous sales agents, offering a robust GraphQL API that allows for programmatic lead scoring and hyper-personalized outreach. Its technical stack is designed for high-concurrency data retrieval, ensuring that sales development representatives (SDRs) and venture capitalists can access validated growth metrics without the multi-month latency typical of traditional providers. The platform's commitment to data transparency includes a 'confidence score' for every revenue estimate, derived from cross-referencing over 50 distinct data signals.