AI Verify
- 1Runs onAPI, Linux, self-hosted, Web
- 2CostsNot stated by the maker
- 3AI system inventoryNo
- 4Risk assessmentsYes
- 5Policy and controlsYes
- 6Compliance frameworksAI Verify Testing Framework; NIST AI RMF; NIST AI RMF Generative AI Profile; Hiroshima Process Code of Conduct; ISO/IEC 42001
- 7Deployment optionson-premises
- 8Listed integrationsVeritas

Overview
AI Verify is an open-source toolkit for evaluating AI systems, with technical tests for fairness, explainability, and robustness in traditional machine-learning models. Users can run tests through a Portal or command line, upload results, complete process checklists, and produce standard or customized reports. AIVT 2.0 supports tabular and image data, taking a model file, preprocessing pipeline, or model API as input. Plugins can extend the toolkit; Veritas adds fairness and transparency tests around threshold trade-offs and explainability plots. The broader framework assesses responsible implementation against 11 AI-governance principles and maps to frameworks and standards including NIST AI RMF and ISO/IEC 42001. Project Moonshot is a separate tool for LLM applications, offering benchmark testing and red teaming. The Toolkit is available under the Apache 2.0 license, with web, API, Linux, and self-hosted platforms listed. AI Verify does not set ethical standards or promise that tested systems are free of risks or biases, or completely safe.
Who it is for
It can serve AI owners, developers, researchers, service providers, and companies integrating the toolkit, as well as data-science and compliance users. It supports both self-assessment and third-party testing.
What is good
- Technical tests address fairness, explainability, and robustness.
- Supports tabular and image data inputs.
- Reports can combine developer and compliance-team work.
- Open-source under the Apache 2.0 license.
What to know first
- The Toolkit tests traditional AI, not LLM applications.
- Current AIVT 2.0 data support is tabular and image.
- It does not guarantee systems are risk-free or unbiased.
Verdict
AI Verify provides testing and reporting tools alongside a governance framework, with a distinct Moonshot tool for LLM applications. Treat its assessments as evaluation support, not a guarantee of safety or ethical compliance.
Compared on AI governance software
- Free plan
- Yesaiverifyfoundation.sg
- AI system inventory
- Noaiverifyfoundation.sg
- Risk assessments
- Yesaiverifyfoundation.sg
- Policy and controls
- Yesaiverifyfoundation.sg
- Compliance frameworks
- AI Verify Testing Framework; NIST AI RMF; NIST AI RMF Generative AI Profile; Hiroshima Process Code of Conduct; ISO/IEC 42001aiverifyfoundation.sg
- Deployment options
- on-premisesaiverifyfoundation.sg
- Listed integrations
- Veritasaiverifyfoundation.sg
Facts
- Purpose
- AI Verify is an open-source, extensible toolkit that validates AI-system performance.aiverify-foundation.github.io · 1 Oct 2026
- Testing coverage
- The toolkit provides more than eight technical tests for fairness, explainability and robustness.aiverify-foundation.github.io · 1 Oct 2026
- Users
- It is built for data-science and compliance users, and supports both third-party testing and self-assessment.aiverify-foundation.github.io · 1 Oct 2026
- Framework principles
- The framework contains 11 AI-ethics principles, including transparency, explainability, safety, security, robustness, fairness, data governance and accountability.aiverifyfoundation.sg · 1 Oct 2026
- International alignment
- The framework is aligned with internationally recognised principles and frameworks from the EU, OECD and Singapore.aiverifyfoundation.sg · 1 Oct 2026
- Portal and CLI
- Users can run tests through the Portal or command line, upload results, complete process checklists and generate reports.aiverify-foundation.github.io · 1 Oct 2026
- Data support
- AIVT 2.0 currently supports tabular and image data types and can use a model file, preprocessing pipeline or model API as input.aiverify-foundation.github.io · 1 Oct 2026
- Extensibility
- The toolkit supports plugins built by the AI Verify Foundation or third parties.aiverify-foundation.github.io · 1 Oct 2026
- Veritas integration
- Veritas integration adds fairness and transparency tests for threshold trade-offs plus explainability plots.aiverify-foundation.github.io · 1 Oct 2026
- Reporting
- AI Verify includes standard report templates that predefine report layouts, technical tests and process checks, while also allowing customized reports.aiverify-foundation.github.io · 1 Oct 2026
- License
- The toolkit is open-sourced under the Apache 2.0 permissive license.aiverifyfoundation.sg · 1 Oct 2026
- Security
- The Foundation says electronic storage and transmission of personal data are secured with appropriate security technologies.aiverifyfoundation.sg · 1 Oct 2026
- Scope limit
- Project Moonshot tests LLM-based applications, while the AI Verify Testing Toolkit tests traditional AI applications for fairness, explainability and robustness.aiverifyfoundation.sg · 1 Oct 2026
- Foundation status
- AI Verify Foundation is a not-for-profit, wholly owned subsidiary of Singapore’s Infocomm Media Development Authority.aiverifyfoundation.sg · 1 Oct 2026
- Framework coverage
- The framework assesses responsible implementation against 11 internationally recognised AI-governance principles and covers traditional and generative AI.aiverifyfoundation.sg · 2 Oct 2026
- Standards alignment
- The framework is mapped to NIST AI RMF, NIST AI RMF Generative AI Profile, Hiroshima Process Code of Conduct and ISO/IEC 42001.aiverifyfoundation.sg · 2 Oct 2026
- Traditional AI tests
- The Toolkit provides technical tests for fairness, explainability and robustness of traditional machine-learning models.aiverifyfoundation.sg · 2 Oct 2026
- Reports
- The Toolkit creates customised reports and can combine independent developer and compliance-team work into a full report.aiverifyfoundation.sg · 2 Oct 2026
- Open source
- The Toolkit is open-sourced under the permissive Apache 2.0 license.aiverifyfoundation.sg · 2 Oct 2026
- Who can use it
- Anyone can use the AI Verify Testing Framework and Toolkit, including AI owners, developers, researchers, service providers and companies integrating it into their systems.aiverifyfoundation.sg · 2 Oct 2026
- Integration
- Veritas was integrated into AI Verify to help financial institutions meet common safety-baseline and financial-testing requirements from MAS.aiverifyfoundation.sg · 2 Oct 2026
- Generative AI tool
- Project Moonshot assesses LLM applications through benchmark testing and red teaming and implements benchmarks recommended in IMDA's Starter Kit.aiverifyfoundation.sg · 2 Oct 2026
- Moonshot interfaces
- Project Moonshot offers a Web UI, interactive CLI, library APIs and Web APIs for MLOps integration.github.com · 2 Oct 2026
- Limitation
- AI Verify does not define AI ethical standards and does not guarantee that tested systems are free from risks or biases or completely safe.github.com · 2 Oct 2026
- Support
- Users are directed to GitHub discussions, the issue tracker, documentation and the Foundation contact page for assistance.github.com · 2 Oct 2026
Company
- Founded
- 2022aiverifyfoundation.sg · 28 Sept 2026
- Headquarters
- Singaporeaiverifyfoundation.sg · 28 Sept 2026
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Sources
- aiverify-foundation.github.io/aiverify/· checked 1 Oct 2026
- aiverifyfoundation.sg/about-aivf/faq/· checked 1 Oct 2026
- aiverifyfoundation.sg/privacy-statement/· checked 1 Oct 2026
- aiverifyfoundation.sg/about-aivf/about-the-foundation/· checked 1 Oct 2026
- aiverifyfoundation.sg/tools/ai-verify-testing-framework/· checked 2 Oct 2026
- aiverifyfoundation.sg/tools/ai-verify-toolkit/· checked 2 Oct 2026
- aiverifyfoundation.sg/tools/moonshot/· checked 2 Oct 2026
- github.com/aiverify-foundation/moonshot· checked 2 Oct 2026
- github.com/aiverify-foundation/aiverify· checked 2 Oct 2026
- aiverifyfoundation.sg· checked 28 Sept 2026