Safebooks AI

Safebooks AI provides a financial data governance platform that utilizes artificial intelligence and machine learning to ensure data integrity for enterprise finance teams. Founded in 2023 by CEO Ahikam Kaufman, CPO Guy Bar-Gil, and CTO Boaz Avidan, the company is headquartered in San Francisco with a corporate office in Wilmington, Delaware. The founding team, comprised of finance and AI veterans, created the platform to address the challenges of revenue discrepancies across disconnected systems. Kaufman previously co-founded Check, a payments company acquired by Intuit.

The company emerged from stealth in December 2025 after securing $15 million in seed funding, bringing its total funding to $22 million. The round was led by 10D, Propel Ventures, and Mensch Capital, with participation from other firms including Moneta Venture Capital and Magnolia Capital. The platform, known as Agentic Revenue Integrity (ARI), acts as an intelligent automation layer that sits on top of a company's existing financial infrastructure, such as CRM, ERP, and billing systems, without requiring system replacements. It creates a unified view by mapping how financial data connects across systems, from contracts and quotes to billing and revenue recognition. The business model is based on contract subscriptions, and the platform is also available on the AWS Marketplace.

Safebooks AI automates reconciliations, data controls, and compliance checks, using its Financial Data Graph to validate every transaction in real-time. The system is designed to detect anomalies, prevent fraud, prevent revenue leakage, and reduce the thousands of hours of manual reconciliation work typically required of finance teams. It serves enterprise SaaS companies by providing continuous, AI-driven monitoring that allows finance leaders to shift from reactive checks to proactive oversight. Since its launch, the platform has monitored over $40 billion in financial transactions.

Keywords: Agentic Revenue Integrity, financial data governance, quote-to-revenue, revenue integrity, data integrity, finance automation, compliance automation, automated reconciliation, fraud detection, financial data graph, CFO technology, enterprise software, order to cash, financial controls, real-time validation, SaaS finance, AI in finance, machine learning, cross-system reconciliation, revenue leakage prevention