The story behind Codexa
Code review is a bottleneck in modern development pipelines. Manual audits are slow, expensive, and miss subtle issues that only emerge in complex codebases. Codexa changes that by combining deep program understanding with large language models to scan, analyze, and report on code at machine speed.
It reads your repositories, builds a semantic graph of dependencies, and runs a battery of checks—from common vulnerabilities (OWASP Top 10, CWE) to style, performance, and licensing concerns. Each finding is explained in plain language, with concrete suggestions for fixing.
Because Codexa is AI-driven, it learns from your team’s habits and prioritizes the issues that matter most to your context, turning every audit into a continuous improvement loop.
Outcomes that compound
The measurable difference Codexa makes to your operations.
Fast, Automated Reviews
Get comprehensive code audits in minutes instead of days.
Actionable Insights
Every finding includes a clear explanation and a concrete remediation step.
Continuous Improvement
Track trends over time and raise the baseline quality of your codebase.
From input to insight
Connect
Point Codexa at your repositories—GitHub, GitLab, Bitbucket, or local clones—and select the branches to audit.
Analyze
Codexa builds a semantic graph, runs static analysis, and invokes AI models to produce findings.
Act
Review the prioritized report, apply suggested fixes, and export results to your issue tracker or compliance system.
Backed by the Nexelligence engine
The infrastructure Codexa runs on, at scale.
Active Agents
Data Volume
Decision Speed
System Uptime
Core Capabilities
Everything Codexa brings to your workflow.
Multi-Language Support
Analyze JavaScript, TypeScript, Python, Java, Go, Rust, and more with language-specific parsers and rule sets.
Security Vulnerability Detection
Find OWASP Top 10, CWE, and common security flaws such as injection, broken auth, and sensitive data exposure.
Code Quality Metrics
Measure complexity, duplication, maintainability, and adherence to coding standards.
License & Compliance Scanning
Detect open-source licenses, identify conflicts, and ensure compliance with organizational policies.
AI-Powered Explanations
Each finding includes a natural-language explanation and a suggested fix, powered by large language models.
Integration with CI/CD
Run Codexa as a step in your pipelines, with configurable gates and rich SARIF/JSON reports.
Custom Rule Engine
Define your own policies and patterns using a flexible rule language or import existing configs (ESLint, SonarQube, etc.).
Dashboards & Trend Tracking
Visualize audit results over time, track remediation velocity, and monitor risk exposure across teams.
AI Technologies
The models and methods powering Codexa.
Where Codexa shines
Security Audits
Run regular scans to catch vulnerabilities before they reach production.
Quality Gates
Enforce code standards in pull requests with automated pass/fail criteria.
Open Source Compliance
Automatically track licenses and dependencies to avoid legal risks.
Built for your world
Where Codexa fits across teams and industries.
Trust, by default
Enterprise-grade protections built into every Codexa deployment.
Powered by our Services
The expertise behind Codexa, available as engagements.
Agentic AI
We build goal-oriented autonomous agents that reason, plan, and execute complex workflows with minimal human intervention. From customer assistant chatbots that resolve real issues to research assistants that synthesize knowledge across your enterprise—our agents don't just chat, they act.
Retrieval Augmented Generation (RAG)
Ground your AI responses in your own data. We architect RAG pipelines that combine the fluency of large language models with the accuracy of your documents, databases, and knowledge sources—eliminating hallucinations and ensuring every answer is sourced and verifiable.
Sovereign Data LakeHouse
Architect unified, secure data foundations that keep your sensitive information strictly on-premise or within sovereign clouds. We build LakeHouse architectures optimized for agentic retrieval.
Questions, answered
Does Codexa require access to my source code?
Yes, it needs to read the code to analyze it. You can run it entirely within your own infrastructure so no code leaves your perimeter.
Can it fix the issues it finds?
Codexa provides suggested fixes and can generate pull requests, but final approval and merging remain under your control.
What formats does it support for reporting?
Outputs include SARIF, JSON, Markdown, and HTML, with integrations for GitHub/GitLab issues and Jira.
Explore the Ecosystem
Agentica
AI Research Assistant
Vyasa
Mixture-of-Experts (MoE) Language Model
Vyasa Agent
Autonomous CLI Agent
Zenyrix
AI Voice Assistant
Doclentra
Document Intelligence Platform
Cerberus
Realtime Anomaly & Fraud Detection
Scorvio
Universal Scoring Engine
Memoriq
AI Knowledge Base
Neurixa
Identity Intelligence Platform
Gamixa
Interactive Experience Platform