In a rapidly evolving world of AI-generated code, reviewing that code has become a new bottleneck. Codeant AI, a San Francisco-based startup backed by Y Combinator, just raised $2 million in seed funding to change that. Its mission: Make reviewing code as smart and effortless as using AI.
The round valued code AI for $20 million, gaining participation from well-known investors from the lineup of Y portfolio, Vitalstage Ventures, irrelevant Ventures, DEVC, Transpose Platform, Entrepreneur First and Inlynation Angels. The funds will help the company expand its engineering and business development teams while expanding its cutting-edge code quality and security platform.
“As AI-driven encoding becomes widespread, the real bottleneck is not writing code, it’s reviewing it,” he said. explain Amartya JhaCo-founder and CEO of Codeant AI. “Peer reviews are often delayed or rushed, allowing bugs and vulnerabilities to slide down at the most critical stages.”
AI that understands code and context
At the heart of Codeant AI is a powerful proprietary abstract syntax tree (AST) engine that goes far beyond traditional lining or static analysis tools. Unlike many tools that operate on isolated code segments, Codeant AI’s language, the AST AST engine, can understand the structure of the entire code base. This allows it to capture deeper, contextual issues that other tools miss, such as pattern inconsistencies, security errors and even potential logic errors.
The platform integrates directly with GitHub, Gitlab, Bitbucket, and Azure DevOps, providing real-time, line-level feedback in pull requests in over 30 programming languages. Developers can receive instant code changes, instant summary of issues automatically tagged, and even one-click fixes – compressing five-minute review sessions that once took hours.
It’s not just speed – it’s precise. Codeant AI constantly scans for “code odors” in repositories (inefficiency or anti-patterning in source code), complexity, duplication and death code, while also detecting security vulnerabilities in infrastructure and third-party dependencies. It complies with leading security standards such as OWASP and CWE and supports SAST (static application security testing), SCA (software composition analysis), IAC (infrastructure as code) scanning and secret detection.
Help developers ship cleaning codes at business speed
After years of first-hand experience, with the frustration of the slow and error-prone code review process, co-founders Amartya Jha and Chinmay Bharti built Codeant AI. JHA used to be in Zeta and Sharechat and saw the operational risk of hasty code changes. Bharti is an AI expert, an AI expert with the owner from IIT Mumbai, faces similar problems, establishing a high-frequency trading system, and a single error can cost millions of dollars.
Their joint expertise leads to a system that not only reviews code, but also acts like a senior engineer – catching bugs, proposing fixes, and constantly learning from feedback.
“We now have a new team member: Codeant AI,” explain Michel Naudhead of IT solutions at Autojon Group. “It saw our entire codebase in seconds, grabbed what Ringer missed and came up with ways to optimize, even for typos. Our local gitlab adoption is instant.”
Sundaraman Venkataramanithe technical director of Motorq responded to the emotion: “With Codeant AI, we have improved code quality and security while pushing the boundaries of innovation.”
Built for modern teams – from start-ups to business
One of the definition advantages of Codeant AI is its flexibility. It supports on-premises deployments for security-aware businesses, ensuring sensitive codebases never leave their internal environments. The platform is HIPAA compliant for SOC 2 and HIPAA, which is ideal for industries such as healthcare, finance and defense.
Pricing starts at $10 per month for basic AI code reviews per developer and scales $40 per month for the entire suite, which includes deep code quality analysis, security monitoring, and compliance tools.
“In a world where AI democratizes code generation, verification has become a killing point,” explain Brian ShinManaging Partner of Vitalstage Ventures. “Codeant AI cuts review time by more than 50%, allowing for rapid, safe and reliable development of large-scale development.”
Tom Bromfielda partner of Y Combinator, added: “Codeant fits your CI/CD pipeline and ensures that only high-quality code can be used for production. Not the slope generated by AI!”
The future of code is reviewed by AI
Codeant AI scans more than 50 million lines of code every day, automatically fixes more than 500,000 issues, and saves time for more than 100,000 developers. Its ambition is clear: Become the default AI reviewer to compete for innovative engineering teams.
As AI continues to accelerate the way software is written, Codeant AI is ensuring speed does not come at the expense of quality or safety. The founders envision a near future where AI can not only help with code writing—it works with engineers to keep that code clean, safe and production ready from day one.
With its latest funding, Codeant AI is ready to be the foundation layer in the AI augment Software development stack, and not just speed up code reviews, but also change them.
