Codequiry
Codequiry is a code-integrity platform that detects source-code plagiarism and AI-generated code for universities, coding bootcamps, and technical hiring teams using proprietary AST-based engines and a neural classifier across 65+ languages and 2 trillion+ web sources.
- Company typePrivate
- Founded-
- HeadquartersSan Antonio, United States
- Headcount—
- GTM typeB2B
- OfferingSoftware
What Codequiry does
Codequiry is a source-code plagiarism and AI-generated-code detection platform targeted primarily at higher education institutions, with secondary use cases in coding bootcamps, technical hiring, and programming competitions. The platform matches submitted code against 2 trillion+ web sources, 100M+ indexed repositories, and prior peer submissions using multiple detection engines, including the proprietary Hexagram AST-based engine and the Zeus Detection Suite, alongside legacy engines MOSS, Dolos, and JPlag. AI-written code detection is delivered through a neural classifier trained on 200K labeled samples plus a pattern/style recognizer; cross-language detection (e.g., Python copied from Java) and obfuscation-resistance are highlighted differentiators.
The company monetizes through monthly and annual subscription tiers starting at $79/month, plus custom enterprise pricing for institution-wide deployments, a public REST API with webhooks for technical integrations, and tiered offerings spanning a free trial, a discretionary free mode with goodwill credit, and an application-only Lifetime Tier at a $1,000 deposit. Distribution is hybrid: self-serve PLG on the web, an enterprise field-sales motion with consultation calls for universities, and developer channels via API, CLI, and LMS integrations. Operations are run through a dual-entity structure: CQC Pvt. Ltd. (India) holds the IP, while Codequiry, LLC (Wyoming) handles US billing.
Codequiry has no external institutional funding disclosed, suggesting a bootstrapped/founder-owned operating model. The platform is sold under sub-brands Hexagram and Zeus, ships in 12+ languages, and holds a heavy enterprise compliance stack (SOC 2 Type II, SOC 3, ISO 27001, GDPR, CCPA, FERPA, COPPA, PCI DSS, AES-256), positioning the company for institutional procurement in both higher education and adjacent regulated segments.
Codequiry firmographics
Firmographics- Name
- Codequiry
- Legal name
- Codequiry, LLC
- Website
- https://codequiry.com
- Company type
- Private
- Operating status
- Operating
- Short description
- Codequiry is a code-integrity platform that detects source-code plagiarism and AI-generated code for universities, coding bootcamps, and technical hiring teams using proprietary AST-based engines and a neural classifier across 65+ languages and 2 trillion+ web sources.
- Ownership category
- akta.pro rank
Codequiry industry classification
Industry- Product category
- Academic Integrity Software (Code Plagiarism and AI Code Detection)
- NAICS
- Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Plagiarism Detection & Similarity Checking (EDAFALAA)
- akta.pro secondary industries
- AI-Generated Content Detection & Authorship Verification (EDAFALAB), Application Security Testing (SAST/DAST/IAST/SCA) (HDADACAC)
Keywords
Where Codequiry is headquartered
LocationHeadquarters
- HQ city
- San Antonio
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Codequiry business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- Subscription Plans: Monthly and annual subscription plans (Professional, Enterprise, Organization tiers) providing access to code plagiarism detection, AI detection, and analysis tools. Plans start at $79/month with tiered feature differentiation.
- API Access: Developer API access for custom integrations and automated code analysis workflows. REST API with webhooks for enterprise and technical users.
- Enterprise Licensing: Institution-wide deployment with dedicated infrastructure for large universities and organizations. Custom pricing based on institutional needs and student volume.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Professional/Individual Plan |
| Subscription | Annual | Enterprise Plan |
| Subscription | Annual | Organization Plan |
| Freemium | Pay-as-you-go | Free Trial |
Go-to-market motion1 record
Distribution channels4 records
Marketing channels7 records
Codequiry product offering
Product offeringCore offering
Codequiry provides a source code plagiarism detection and AI-written-code detection platform that scans submitted source code against 2 trillion+ web sources, public repositories (GitHub, GitLab, Stack Overflow, Chegg), prior peer submissions, and AI model outputs. It runs multiple proprietary and legacy detection engines (Hexagram AST engine, Zeus Detection Suite, MOSS, Dolos, JPlag) in parallel across 65+ programming languages, returning similarity reports, cross-submission collusion analysis, and AI-written probability scores for academic integrity and technical assessment use cases.
Product overview
Codequiry is a code integrity platform consisting of a core plagiarism detection engine complemented by multiple specialized tools and API/CLI products. The flagship platform (Codequiry) matches submitted code against 2 trillion+ web sources, peer submissions, and AI-generated outputs using multiple detection engines: Zeus (AST-based, in-house), Hexagram (structural AST analysis), plus MOSS, Dolos, and JPlag as legacy engines. The AI Code Detector provides dedicated AI-written code detection using a neural classifier and pattern recognizer. Additional products include Window IDE (desktop IDE integration), Desktop Client (standalone app), CLI Terminal (command-line tool), MOSS Bypasser (evasion-resistant detection), Instant Check (quick on-demand check), LMS Integration (Learning Management System connector), and Developer API (REST API with webhook support). The platform supports 65+ programming languages and is designed for universities, coding bootcamps, and technical hiring teams.
Differentiator
Problem solved
Functional benefit
Brands
- Hexagram: AST-based structural code plagiarism detection engine
- Zeus Detection Suite
- Zeus Hyper
Products and services
- Codequiry Platform (Source Code Plagiarism Checker) Enterprise-grade source code plagiarism detection platform that matches code submissions against 2 trillion+ web sources, peer submissions, and AI-generated outputs using multiple detection engines (Zeus/Hexagram, MOSS, Dolos, JPlag). Provides side-by-side match visualization, similarity scoring, and AI-written code detection for academic integrity and technical hiring use cases.
- AI Code Detector Dedicated AI-written code detection tool that detects ChatGPT, GPT-5.1, Claude, Gemini, GitHub Copilot, Cursor, CodeWhisperer, Tabnine, Codeium, Grok, and Meta Llama with 80-90% accuracy. Uses an AI Classification Model (neural classifier trained on 200K labeled samples) and a Pattern & Style Recognizer resistant to reformatting. Free to use as a standalone tool.
- Developer API (REST API with Webhooks) Public REST API that allows developers to programmatically submit code for plagiarism detection, retrieve reports, configure AI detection, and integrate Codequiry into custom workflows and CI/CD pipelines. Includes webhooks for async notifications.
- Desktop Client Standalone desktop application for code plagiarism and AI-detection checking, providing an alternative to the web-based platform for local code analysis on developer workstations.
- CLI Terminal / Command-Line Client Command-line interface for automated code plagiarism and AI-detection checking that enables developers, technical users, and CI/CD pipelines to integrate code integrity checks into build workflows.
- Window IDE Desktop-integrated code checking environment that allows developers to run plagiarism and AI-detection checks directly within their development workflow.
- LMS Integration Integration layer connecting Codequiry's plagiarism and AI-detection capabilities with Learning Management Systems used by educational institutions for streamlined assignment submission, plagiarism review, and grading workflows.
Quantifiable outcome
- 60x faster than MOSS (45 seconds vs 45 minutes for 100 submissions)
- +4 more outcomes
Companies that use Codequiry
Customer profileNamed customers19 records
Segments6 records
Ideal customer profiles4 records
Codequiry technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability6 records
Feature7 records
Codequiry partnerships and signals
Strategic signalScale indicators15 records
Recent moves6 records
Expansion highlights6 records
Codequiry competitors and assessment
Company assessmentDirect peers
- Copyleaks: AI-content detection and plagiarism platform that has explicitly added source code plagiarism detection as a use case alongside text and AI-generated content detection. Competes directly with Codequiry in academic integrity, particularly for institutions seeking a single vendor for text + code + AI detection.
- MOSS (Measure of Software Similarity): The original Stanford-developed token-based code plagiarism detection system that has been the de facto standard in CS departments for two decades. Codequiry explicitly positions itself as a MOSS alternative/replacement, offering MOSS-compatible endpoints plus web scanning and AI detection that MOSS lacks.
- JPlag: Open-source code plagiarism detection tool originally developed at KIT (Karlsruhe Institute of Technology) that uses language-specific frontends and a token-based comparison backend. Codequiry bundles JPlag alongside MOSS and Dolos as one of its multiple detection engines, but JPlag is also distributed independently as a free alternative.
- Dolos: Open-source code plagiarism detection platform from Ghent University that focuses on token-based analysis with a strong visualization interface. Like JPlag, it is bundled inside Codequiry as one of the multiple engines while also being available as a standalone free alternative for universities.
Emerging players
- GPTZero: High-profile AI text detection platform founded in 2023, widely adopted in education and journalism for detecting LLM-generated content. While primarily text-focused, its expansion into broader AI-integrity use cases (including code-adjacent content) overlaps with Codequiry's AI-written-code detection capabilities for the same educator buyer.
- Veraguard: AI-integrity and academic misconduct detection platform focused on universities and online proctoring providers. Overlaps with Codequiry's primary higher-education customer segment on AI-detection procurement, though Veraguard is more weighted to proctoring and text-AI detection than code plagiarism specifically.
- Originality.ai: AI content detection service originally focused on text (ChatGPT, GPT-4 detection) for publishers and educators, with expanding coverage into code. Shares Codequiry's positioning at the intersection of academic integrity and AI-generated content detection, and competes for the technical hiring and education budgets.
Broad incumbents
- Turnitin: The dominant academic integrity platform owned by Advance Publications, widely deployed across universities for text plagiarism detection. While primarily a text-plagiarism tool, Turnitin has added code-similarity features and AI writing detection, competing with Codequiry for the same institutional buyer and LMS-integrated workflows.
- Snyk Code: Developer security platform whose Code product performs SAST (static application security testing) using AST-level code analysis. While focused on security vulnerabilities rather than plagiarism, the underlying AST analysis technology and target buyer (engineering teams and dev tools procurement) overlap with Codequiry's enterprise technical-hiring and DevSecOps-adjacent segments.
- Ouriginal (formerly Urkund): Plagiarism detection service owned by Turnitin/Advance Publications, integrated into major LMS platforms (Canvas, Moodle, Blackboard) and widely used in European universities. Competes with Codequiry for institutional academic-integrity budgets where code-similarity is one of several content types to be checked.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
Codequiry social profiles
Digital presenceCodequiry compliance and trust
Trust signalCompliance9 records
Codequiry financial estimates
Financial estimateRevenue estimate
Valuation estimate
Codequiry leadership team
Management profileNumber of profiles
Codequiry funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Codequiry M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Codequiry
What does Codequiry do?
Codequiry provides a source code plagiarism detection and AI-written-code detection platform that scans submitted source code against 2 trillion+ web sources, public repositories (GitHub, GitLab, Stack Overflow, Chegg), prior peer submissions, and AI model outputs. It runs multiple proprietary and legacy detection engines (Hexagram AST engine, Zeus Detection Suite, MOSS, Dolos, JPlag) in parallel across 65+ programming languages, returning similarity reports, cross-submission collusion analysis, and AI-written probability scores for academic integrity and technical assessment use cases.
Is Codequiry a public or private company?
Codequiry is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Codequiry founded?
Codequiry was founded in -1.
Where is Codequiry based?
Codequiry is headquartered in San Antonio, United States, in the North America region.
How does Codequiry make money?
Three revenue lines are on record. Subscription Plans are the primary driver. The others are API Access and enterprise Licensing.
Who are Codequiry's main competitors?
Direct peers on record are Copyleaks, MOSS (Measure of Software Similarity), JPlag and Dolos. Emerging players are GPTZero, Veraguard and Originality.ai. Broad incumbents are Turnitin, Snyk Code and Ouriginal (formerly Urkund).
Does Codequiry have an API?
Yes. Codequiry offers a public REST API for code plagiarism detection, enabling developers to build custom workflows and automate code analysis at scale. The API includes webhook support for receiving notifications. Available to developers on API plan and above, with full documentation at https://codequiry.com/usage/api. Developer documentation is at codequiry.com/usage/api.
What industry is Codequiry in?
Codequiry's product category is Academic Integrity Software (Code Plagiarism and AI Code Detection). Its primary akta.pro industry code is EDAFALAA, Plagiarism Detection & Similarity Checking, with a secondary code of EDAFALAB, AI-Generated Content Detection & Authorship Verification. Its NAICS code is 5132 and its SIC code is 7372.