Qodo Raises $70 Million in Series B Funding
Qodo, a New York-based startup specializing in AI-driven code review and governance tools, has announced a successful $70 million Series B funding round. This funding round, which took place on March 30, 2026, was led by Qumra Capital, with participation from a diverse group of investors including Maor Ventures, Phoenix Venture Partners, S Ventures, Square Peg, Susa Ventures, TLV Partners, Vine Ventures, Peter Welender from OpenAI, and Clara Shih from Meta.
Qodo offers a unique AI code review tool that provides development teams with deep insights into their codebases, enabling faster development cycles and improved code quality. The platform boasts over 15 agentic workflows tailored for integration with IDEs, pull requests, and security protocols.
Founders and Leadership
Qodo was founded by Itamar Friedman, who serves as CEO, and Dedy Kredo, the Chief Product Officer. Friedman, who co-founded Visualead and has experience leading machine vision projects at Alibaba, noted that his past experiences in system generation and verification inspired the creation of Qodo. "Generating systems and verifying systems require very different approaches," he said, emphasizing the need for distinct tools and methodologies.
Ally Sirois, who plays a crucial role in guiding the company from go-to-market strategies to CEO duties, is also a key part of the leadership team.
Addressing the Code Verification Challenge
As AI-powered coding tools proliferate, generating vast volumes of code, the challenge of ensuring the reliability and security of this code has become more pronounced. Qodo's platform addresses this issue by acting as a comprehensive layer for code review and governance. Unlike traditional tools that focus solely on changes, Qodo evaluates the broader impact of code modifications, considering organizational standards and historical context.
Qodo's platform integrates within existing development environments, automating the review process with AI agents that specialize in various aspects such as bug detection, compliance checks, and architectural validation. This multi-agent approach allows for a more thorough and efficient review process.
Strategic Use of Funds
The newly acquired funds are expected to be utilized for expanding Qodo's product capabilities and enhancing its AI-driven processes. While specific details on the allocation of funds were not disclosed, the investment will likely support scaling operations and potential market expansion.
Conclusion
With this substantial investment, Qodo is well-positioned to advance its mission of improving trust and efficiency in AI-generated code. As enterprises increasingly adopt AI coding tools, Qodo's solutions will be crucial in ensuring that the speed of code generation does not compromise quality and security.