AI Verify vs Parsias
AI Verify
aiverifyfoundation.sgParsias
parsias.aiSide by side
| Figure | AI Verify | Parsias |
|---|---|---|
| Price from | — | £950/mo |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 2 |
| Spec score · AI Governance Software | 8.0 (#10) | 7.3 (#36) |
| Spec score · AI governance tools | 7.9 (#15) | 7.1 (#46) |
| Security | The Foundation says electronic storage and transmission of personal data are secured with appropriate security technologies. | The site says Verify is encrypted at rest and in transit and SOC 2 aligned; Portfolio runs on customer servers or private cloud with the customer’s language model. |
| Support | Users are directed to GitHub discussions, the issue tracker, documentation and the Foundation contact page for assistance. | Portfolio includes dedicated advisory and implementation support, and the contact page says the company responds to email within 24 hours. |
Plans
In their own words
AI Verify
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.