Qodo is an AI code review company, and it just raised $70 million to build the software layer that checks whether AI-written code should ship at all. The New York-headquartered startup argues that faster code output has created a new problem: teams are generating more software, but they still don’t trust a lot of it. Founded in 2022 by Itamar Friedman, Qodo is betting that verification — not generation — is where enterprise developer tools get serious next. That’s the idea behind its latest Series B, which brings total funding to $120 million.
That pitch lands at a good moment. The source article’s own survey figure is blunt: 95% of developers don’t fully trust AI-generated code, yet only 48% consistently review it before committing. So the bottleneck isn’t writing code anymore. It’s making sure the code won’t break production.
What is Qodo and how does its AI code review work?
Qodo is a review-first platform. It sits across tools developers already use. These include IDEs, pull requests, CLI flows, and Git-based workflows.The platform adds automated, context-based review. It also adds governance on top.Its product stack includes code review and a Context Engine. This engine helps the system understand multiple repositories. Qodo also includes a governance layer. It enforces rules across teams. It offers developer tools inside IDEs and the CLI. Companies can also deploy it on-prem if they don’t want external infrastructure.
In practice, teams can install Qodo in their Git provider. They can also use the IDE plugin locally. Review agents analyze code diffs as developers write code. The plugin catches breaking changes and security issues. It suggests fixes in one click. It also flags missing tests before code reaches a pull request. Qodo focuses on shifting review left.
Who founded Qodo and why build AI code review now?
The founding story
Qodo was founded in 2022 by Itamar Friedman, with Dedy Kredo as co-founder and chief product officer. Friedman’s case for starting the company came from a specific belief: code generation and code verification are different jobs. In the source interview, he traced that view back to work on automated hardware verification at Mellanox and later to advances in language-based AI at Alibaba’s Damo Academy.
That background matters because Friedman wasn’t reacting after ChatGPT went mainstream. He says he started Qodo just months before ChatGPT launched, after deciding that if AI was going to generate a large chunk of the world’s code, somebody had to build the systems that judged whether that code was actually right.
Why Friedman had founder-market fit
Friedman isn’t a random SaaS founder chasing an AI wave. Before Qodo, he co-founded Visualead and served as its CTO; Alibaba acquired the company, and Friedman then led teams there building ML-based tools used by millions. He also holds BSc and MSc degrees in electrical engineering from the Technion, with a focus on machine learning and computer vision.
That mix machine learning, computer vision, infrastructure, plus a prior exit gives him more credibility here than the usual “we added an LLM to pull requests” story. And Friedman’s own framing is sharper than most startup copy: “Code generation companies are largely built around LLMs. But for code quality and governance, LLMs alone aren’t enough.”
Traction, funding, and the early signals
This new round is a $70 million Series B led by Qumra Capital, with Maor Ventures, Phoenix Venture Partners, S Ventures, Square Peg, Susa Ventures, TLV Partners, Vine Ventures, Peter Welinder of OpenAI, and Clara Shih of Meta also participating. Total funding now stands at $120 million. Qodo’s earlier Series A, announced in September 2024 when the company still used the CodiumAI name, was $40 million and brought total funding at that time to $50 million.
Qodo moved from its first review agent in 2023 to a broader enterprise code review and governance platform, and its March 2026 funding post says its enterprise footprint grew 11x over the past year. The company’s extension footprint is also big enough to notice: its about page shows 847.2K installs on the Visual Studio Code marketplace and 615.5K on JetBrains’ plugin marketplace.
The source article adds the customer proof points investors want to see: Nvidia, Walmart, Red Hat, Intuit, Texas Instruments, Monday.com, and JFrog. It also says Qodo launched Qodo 2.0 in the past month, rolled out tools that learn each organization’s own definition of code quality, and scored 64.3% on Martian’s Code Review Bench — more than 10 points ahead of the next competitor and 25 points ahead of Claude Code Review.
How Qodo stacks up against rivals
Qodo isn’t alone here. CodeRabbit is explicitly selling AI code reviews across pull requests, IDEs, and CLI workflows, while Greptile has benchmarked itself against CodeRabbit, Graphite, Copilot, and other review systems. Then you have the code-generation giants Copilot, Claude Code, Cursor, Amazon Q, Tabnine all adding review features because they know enterprises won’t keep buying raw code output without some trust layer.
Qodo’s angle is clear. It wants to be the dedicated review and governance layer, not a side feature bolted onto a code generator. The company leans on multi-repo context and organization-specific rules. It also leans on on-prem deployment and specialized review agents. The old alternative, of course, is still human review plus static analysis plus test suites stitched together with tribal knowledge. Qodo is trying to turn that messy combo into one system.
Why are investors betting on AI code review verification?
This round isn’t really about writing more code. It’s about controlling the blast radius from all the code that’s already being written by models and agents.
Qodo’s official messaging around the Series B makes that explicit. The company wants to become a system of record for enterprise code governance, and the new money will help expand “shift-left” capabilities, proactive in-development guidance, and precision controls around AI-generated code. That sounds less like a review bot and more like infrastructure for software quality policy.
That’s also why Qumra and the rest of the syndicate likely bought in. If code generation becomes a commodity, the scarce thing is judgment. Friedman calls that jump from “intelligence” to “artificial wisdom.” It’s a grand phrase, sure. But the commercial idea under it is simple enough: enterprises will pay for tools that reduce review noise, encode internal standards, and keep agent-written code from quietly rotting the codebase.
How big is the market for AI code review tools?
The adoption numbers are already loud. GitHub’s 2024 survey of 2,000 people on enterprise software teams across the U.S., Brazil, India, and Germany found that more than 97% had used AI coding tools at work at some point. More than 98% said their organizations had experimented with AI for test case generation, and GitHub also pointed to prior research showing up to a 55% productivity lift for developers using Copilot.
The next wave is arriving even faster. A January 2026 arXiv study covering 129,134 GitHub projects estimated coding-agent adoption at 15.85% to 22.60% in just the first half of 2025, calling that unusually high for a category only months old. The paper also found agent-assisted commits tend to be larger and skew toward features and bug fixes. Exactly the kind of output that makes verification more important, not less.
That’s the structural tailwind behind Qodo. Not “AI for coding” in the generic sense. More code. Bigger commits. Faster merges. More places for subtle failure to hide.
Conclusion
Qodo’s AI code review bet is blunt: the next big developer tool won’t be the one that writes the most code, but the one that keeps bad code from shipping. That’s a harder product to build, and frankly a less sexy one to market. But if enterprise teams keep piling AI agents into production workflows, verification stops being a nice extra and starts looking like the actual budget line to watch.
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FAQ
What funding did Qodo announce?
Qodo announced a $70 million Series B on March 30, 2026, bringing total funding to $120 million. Qumra Capital led the round, and the company said the money will help it scale its enterprise code review and governance platform.
How does Qodo’s product work for software teams?
Qodo runs review workflows in the IDE, in pull requests, and through a CLI so teams can validate code before and after a PR opens. It uses codebase context and ticket context. It also uses PR history to rank findings, suggest fixes, enforce internal rules, and reduce low-value review noise.
Who founded Qodo?
Qodo was founded in 2022 by Itamar Friedman, and Dedy Kredo is the company’s co-founder and CPO. Friedman previously co-founded Visualead, which Alibaba acquired, and he studied electrical engineering with a machine learning focus at the Technion.
Is Qodo an AI coding assistant or an AI code review company?
It’s much closer to an AI code review and code-governance company than to a pure coding assistant. Qodo competes with review-focused tools like CodeRabbit while also trying to sit alongside code generators such as Copilot, Cursor, Claude Code, and others as the trust layer that decides what should actually merge.
