Qodo Raises $70 Million Series B to Scale AI-Driven Code Governance Platform

New updates have been reported about Qodo.

Qodo, an AI-powered code review and code-governance platform used by enterprises such as Walmart, NVIDIA, Ford, and Intuit, has secured a $70 million Series B round, bringing total funding to $120 million. The round was led by Qumra Capital, with participation from Maor Ventures, Phoenix Capital Partners, S Ventures, Square Peg, Susa Ventures, TLV Partners, Vine Ventures, and notable angel investors including senior executives from OpenAI and Meta.

The company is positioning its platform as critical infrastructure for enterprises accelerating AI-assisted software development, where machine-generated code is growing exponentially and outpacing human review capacity. Qodo recently ranked among the top performers in Martian’s independent Code Review Bench, achieving a 50.3% F1 score, indicating stronger ability to detect subtle logic errors, cross-file inconsistencies, and architectural violations while reducing noise for developers.

Unlike many AI review tools that focus only on what changed in a pull request, Qodo evaluates the impact of code changes across releases, against full codebase history and organization-specific engineering standards to enforce quality, security, and compliance. Customers such as TUI Group report using Qodo as a sovereignty layer to ensure every line of AI-assisted code meets performance, security, and regulatory expectations while enabling faster release cycles at global scale.

Proceeds from the Series B will fund global enterprise expansion and substantive growth of Qodo’s engineering and product teams, with immediate hiring centered on its Tel Aviv office. The company plans to accelerate development of advanced AI-driven governance capabilities so customers can safely scale AI-generated code while maintaining strict controls over code quality and risk.

CEO and co-founder Itamar Friedman frames Qodo as a “system of record” for code quality and trust as organizations shift from experimental AI to mission-critical automation. Qodo’s latest release, version 2.2, adds advanced context engineering and a multi-agent review system that uses full-repository signals – including historical code decisions – to deliver more accurate, explainable, and actionable feedback, positioning the platform as a foundational integrity layer in the AI development lifecycle.