Within the fast-evolving world of AI-generated code, reviewing that code has turn into the brand new bottleneck. CodeAnt AI, a San Francisco-based startup backed by Y Combinator, has just raised $2 million in seed funding to alter that. Its mission: make reviewing code as intelligent and effortless as writing it with AI.
The round, which values CodeAnt AI at $20 million, saw participation from notable investors including Y Combinator, VitalStage Ventures, Uncorrelated Ventures, DeVC, Transpose Platform, Entrepreneur First, and a roster of influential angels. The funds will help the corporate scale each its engineering and business development teams while expanding its cutting-edge code quality and security platform.
said Amartya Jha, Co-founder and CEO of CodeAnt AI.
AI That Understands Code — and Context
At the center of CodeAnt AI is a strong proprietary Abstract Syntax Tree (AST) engine that goes far beyond traditional linters or static evaluation tools. Unlike many tools that operate on isolated code snippets, CodeAnt AI’s language-agnostic AST engine understands the structure of a whole codebase. This permits it to catch deeper, contextual issues that other tools miss — akin to inconsistent patterns, security misconfigurations, and even potential logic bugs.
The platform integrates directly with GitHub, GitLab, Bitbucket, and Azure DevOps, providing real-time, line-level feedback during pull requests across greater than 30 programming languages. Developers can receive quick summaries of code changes, automatic flagging of issues, and even one-click fixes — compressing what once took hours into five-minute review sessions.
It’s not only speed — it’s precision. CodeAnt AI constantly scans repositories for “code smells” (inefficiencies or anti-patterns in source code), complexity, duplication, and dead code, while also detecting security vulnerabilities in each infrastructure and third-party dependencies. It aligns with leading security standards like OWASP and CWE, and supports SAST (Static Application Security Testing), SCA (Software Composition Evaluation), IaC (Infrastructure as Code) scanning, and secret detection.
Helping Developers Ship Clean Code on the Speed of Business
Co-founders Amartya Jha and Chinmay Bharti built CodeAnt AI after years of firsthand experience with the frustrations of slow and error-prone code review processes. Jha, formerly at Zeta and ShareChat, saw the operational risks of rushed code changes. Bharti, an AI expert with a master’s from IIT Bombay, faced similar issues constructing high-frequency trading systems where a single bug could cost thousands and thousands.
Their combined expertise led to a system that not only reviews code but additionally acts like a senior engineer — catching mistakes, proposing fixes, and constantly learning from feedback.
said Michel Naud, Head of IT Solutions at Autajon Group.
Sundaraman Venkataramani, Tech Lead at Motorq, echoed the sentiment:
Built for Modern Teams — from Startups to Enterprises
Certainly one of CodeAnt AI’s defining benefits is its flexibility. It supports on-premise deployment for security-conscious enterprises, ensuring that sensitive codebases never leave internal environments. The platform is SOC 2 and HIPAA compliant, making it ideal for industries like healthcare, finance, and defense.
Pricing starts at $10 per developer monthly for basic AI code reviews and scales as much as $40 monthly for the complete suite, which incorporates deep code quality evaluation, security monitoring, and compliance tools.
said Brian Shin, Managing Partner at VitalStage Ventures.
Tom Blomfield, Partner at Y Combinator, added:
The Way forward for Code Is Reviewed by AI
On daily basis, CodeAnt AI scans over 50 million lines of code, auto-fixes greater than 500,000 issues, and saves over 100,000 developer hours. Its ambition is evident: to turn into the default AI reviewer for engineering teams racing to innovate.
As AI continues to speed up how software is written, CodeAnt AI is ensuring that speed doesn’t come at the price of quality or security. The founders envision a near future where AI doesn’t just assist in writing code — it partners with engineers to maintain that code clean, secure, and production-ready from day one.
With its latest funding, CodeAnt AI is poised to turn into a foundational layer within the AI-augmented software development stack — not only speeding up code reviews, but transforming them.
