Qodo raises $70 million to develop a trust layer for AI coding

Qodo has raised $70 million in a Series B funding round, bringing its total funding to $120 million.

Qumra Capital led the round, with participation from Maor Ventures, Phoenix Capital Partners, S Ventures, Square Peg, Susa Ventures, TLV Partners, Vine Ventures, Peter Welender of OpenAI, and Clara Shih of Meta.

Qodo sells software that reviews and governs code produced with the help of artificial intelligence. The company argues that while AI tools have made it faster and easier for developers to write software, they have also created a new challenge for engineering teams: determining whether that code meets internal standards and can be trusted in production systems.

Its platform is used by customers including Walmart, NVIDIA, Red Hat, Box, Intuit, Ford Motors, and Monday.com. The new funding will support a broader global enterprise sales push and the expansion of its engineering and product teams, including hiring in Tel Aviv.

Review Focus

The funding comes as software companies and AI model providers race to add coding and review features to their products. That has sharpened focus on a less visible part of software development than code generation itself: checking whether new code introduces bugs, breaks existing systems, or falls short of an organisation's rules on security, compliance, and architecture.

Qodo is positioning itself as an independent layer for that work rather than a feature attached to a broader coding assistant. Its argument is that companies may prefer a separate product to verify AI-generated code, particularly when software teams use several coding tools across large codebases.

According to figures released by Qodo, a survey of 500 developers found that 95% said knowing code is AI-generated changes how closely they review it. Nearly half, or 45%, said their review process now requires extra tests, benchmarks, or documentation.

That points to a shift in software engineering priorities as AI-generated code becomes more common in production environments. The issue is not only whether code can be created quickly, but whether companies can maintain oversight when it is written at greater speed and volume than human reviewers can easily manage.

Benchmark Results

Qodo also cited recent benchmark results to support its market position. It ranked among the top performers on Martian's Code Review Bench, which it described as the first independent evaluation of AI code review tools, with an F1 score of 50.3%.

According to the company, that result put it ahead of Claude Code Review. Qodo says its software is designed to assess not only what changed in a pull request, but also the wider effect of that change across repositories, prior code history, and internal engineering standards.

That distinction matters because code review in larger organisations often goes beyond spotting obvious errors in a single file. Engineering teams also need to understand whether a change conflicts with established architecture, introduces inconsistency across systems, or creates risks that may not be visible from the latest edit alone.

Christian Rudolph, Head of Platform Services at TUI Group, described how the software is being used inside a large business.

"As we expand the use of AI-assisted development across our platforms, Qodo ensures every line of code meets our standards for performance, security, and compliance," he said. "The layer of governance Qodo provides is critical to delivering seamless, reliable travel experiences at a global scale. We are innovating faster while maintaining the trust our customers place in us at every stage of their journey."

Investor View

Itamar Friedman, Chief Executive Officer and Co-Founder of Qodo, said the company sees a market opening as businesses move from experimenting with AI coding tools to relying on them in more critical systems.

"The era of unverified AI software development is over," he said. "At Qodo, we are building a 'system of record' for code quality and trust, as enterprises shift from experimental AI to mission-critical automation. With this new financing, we can empower organizations to move fast with confidence, knowing every line of code is safe, reliable, and aligned with their standards."

Investors backing the round are framing the market in similar terms. As more code is generated by machines, they see the bottleneck shifting from writing software to reviewing it.

"AI has made code cheap to generate and the scarce resource is now trust. As the review layer becomes the highest-leverage control point in the development lifecycle, Qodo is building the infrastructure to make human judgment scale at the speed of AI," said Boaz Morris, Partner at Qumra Capital. "This isn't a point solution bolted onto the pipeline; it's the foundational layer of integrity that the entire AI development lifecycle has been missing."