The Code Registry is a non-LLM code intelligence platform that helps leaders and investors understand, verify, value, and fix their software assets. It provides plain-English assessments of code quality, security vulnerabilities, and outdated dependencies, enabling non-technical stakeholders to make data-driven decisions. The platform has analyzed over 672,000 lines of code and detected more than 97,000 security issues across critical codebases.
Funding
Funding not disclosed
Founders
Product
Problem
Software is a critical business asset, yet non-technical founders, CEOs, and investors often lack visibility into its quality, security, and overall health. They must rely on trust rather than evidence when answering questions like "Is the code good?" from boards, investors, or potential buyers, leaving them exposed to hidden risks and valuation uncertainty.
Solution
The Code Registry provides an independent, non-LLM code intelligence platform that translates complex codebases into clear, actionable insights. It analyzes code to identify security vulnerabilities, outdated dependencies, and quality issues, then generates plain-English reports that make technical risk understandable to non-technical stakeholders. The platform also verifies AI-generated code, monitors company software over time, and produces board-ready reporting that supports informed decision-making. By democratizing code knowledge, it helps leaders manage risk, validate their software assets, and communicate technical status with confidence.
Target Audience
Primary users are non-technical founders, CEOs, CTOs, investors, and leadership teams who need independent, understandable visibility into their software's quality, risk, and value without relying solely on internal technical teams.
Features
- Non-LLM code analysis engine that provides objective, reproducible intelligence without generative AI variability
- Automated detection of security issues and vulnerabilities, with over 97,000 identified across critical codebases
- Dependency tracking that flags outdated or vulnerable libraries, with more than 80,000 outdated dependencies found
- Plain-English reporting designed for non-technical audiences, including CEOs, boards, and investors
- AI-generated insights to help teams understand and improve code quality
- Software monitoring capabilities to track code health and risk over time
- Verification tools specifically designed to assess the reliability of AI-generated code