CodeAnt AI
CodeAnt AI is an AI Code Health Platform that ensures every line of code—whether written by a human or machine—is secure, compliant, and optimized from day one, empowering the next billion builders.
At a Glance
- Startups and fast-growing tech companies
- Enterprise companies and Fortune 500
- Engineering teams with 10-800+ developers
- Industries: Automotive, Aviation, Cybersecurity, Healthcare, Finance, Manufacturing
- +3 more
AI Tools by CodeAnt AI
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CodeAnt AI
AI Code Review and Security Platform
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Latest News
CodeAnt AI raises $2M seed funding at $20M valuation, featured in Forbes
While AI makes writing code easier than ever, CodeAnt AI secures $2M to make it easy to review
AI for code reviews: CodeAnt AI raises $2M to help engineering teams cut manual code review time and bugs by over 50%
CodeAnt AI Raises USD 2 Mn in Seed Funding to Streamline Code Review with AI
Products & Services
Automatically reviews pull requests with full codebase context, provides in-line reviews, sequence diagrams, AI summaries, and one-click fixes. Reduces review time by 50-80%.
Provides SAST (Static Application Security Testing), SCA (Software Composition Analysis), secrets scanning, IaC security, and SBOM (Software Bill of Materials) to find and fix security risks before production.
Full codebase scanning to detect code smells, dead code, duplicates, complexity issues, and provides real-time quality insights with quality gates and test coverage tracking.
Engineering metrics platform that shows real developer impact including throughput comparison, developer insights, leaderboards, and AI-generated summaries explaining what was shipped, fixed, or improved. Provides deeper insights than tools like LinearB.
Market Position
CodeAnt AI positions itself as an all-in-one AI Code Health Platform that combines code review, security, quality, and developer metrics in a unified solution. Competes with specialized tools like SonarQube (code quality), Snyk (security), CodeRabbit (AI code review), and GitHub Copilot (AI coding assistant). Key differentiators include: full codebase context understanding, proprietary language-agnostic AST engine, 50-80% reduction in review time, one-click fixes, enterprise compliance (SOC 2, HIPAA), and never training on customer code.
Leadership
Founders
Amartya Jha
Co-Founder & CEO. Previously led the DevOps and Infrastructure teams at unicorns Zeta and ShareChat, scaling their infrastructures to handle hundreds of millions of requests.
Chinmay Bharti
Co-Founder & CTO. IIT Bombay graduate with BTech/MTech in Electrical Engineering and Signal Processing. Previously founding engineer at Zevi AI building search infrastructure for D2C brands, and quant developer at Blu Analytics.
Executive Team
Amartya Jha
Co-Founder & CEO
Previously led DevOps and Infrastructure teams at Zeta and ShareChat
Chinmay Bharti
Co-Founder & CTO
IIT Bombay graduate, founding engineer at Zevi AI, former quant developer at Blu Analytics
Board of Directors
Founding Story
The founders identified that while AI makes writing code easier than ever, the real bottleneck isn't writing code—it's ensuring code quality and security through reviews. They started CodeAnt AI to address this gap using AI to automate and accelerate the code review process.
Business Model
Revenue Model
SaaS subscription model with per-user/per-month pricing for Premium tier and custom enterprise contracts. Offers free trials, open source discounts, and startup discounts.
Pricing Tiers
14-day free trial, no credit card required
Includes unlimited AI Code Reviews, AI PR Summaries & Chat, Custom Review Prompts, 30+ Languages Support, CI/CD Integrations, AI Code Review Dashboards, Dedicated Slack Support
Full package including code quality, security, and compliance tools ($40/user/month mentioned in press). Includes dedicated success manager, dedicated staff engineer(s), white-glove onboarding, SOC2/HIPAA/VAPT reports, on-prem/VPC deployment, SSO/SAML/SCIM, SLA commitments, custom contracts and MSAs
Free for open source projects
Target Markets
- Startups and fast-growing tech companies
- Enterprise companies and Fortune 500
- Engineering teams with 10-800+ developers
- Industries: Automotive, Aviation, Cybersecurity, Healthcare, Finance, Manufacturing
- Teams using GitHub, GitLab, Bitbucket, Azure DevOps
- Companies requiring SOC 2, HIPAA compliance
- Accelerating code review cycles for engineering teams
- Reducing manual code review time by 50-80%
- Catching bugs and security vulnerabilities before production
- Maintaining code quality and consistency across large teams
- Compliance and security scanning for regulated industries
- Developer productivity tracking and metrics
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