AI Assurance DirectoryTools for SAE G-34
Listed tools whose cited public page names this framework. Read the SAE G-34 explainer first. Related reading is on the articles index.
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Re:In (Moasoftware)
Data-quality platform the vendor maps to ARP6983/ED-324 §§6.2–6.5 (bias, diversity, sufficiency, balance, augmentation, reliability reports). W-Shape four stages. Dated 25 August 2026; updated 6 October 2026.
Official documents and working-group pages
These are the primary public pages we cite for SAE G-34. They are not directory listings and are not endorsements.
- WG-114 - EUROCAE - EUROCAE
- AIR6988: Artificial Intelligence in Aeronautical Systems: Statement of Concerns - SAE International
- AIR6987: Artificial Intelligence in Aeronautical Systems: Taxonomy - SAE International
- Toward a Machine Learning Development Lifecycle for Product Certification and Approval in Aviation - SAE International
- EUROCAE WG-114 / SAE G-34 presentation hosted by EASA - EASA
- Roadmap for Artificial Intelligence Safety Assurance, Version I - FAA
Related articles
- Building an AI assurance case (GSN/AMLAS) for certification
- Data assurance for ML in avionics: EASA learning assurance
- DO-178C and machine learning: where the gaps are
- DO-330 tool qualification for ML development and verification toolchains
- Does the FAA certify AI today? Current status
- The FAA AI Safety Assurance Roadmap, explained
- FAA and EASA AI certification timelines compared
- How to map an AI model to DO-178C / DO-330 tool qualification
- SAE G-34 / ARP6983 status: what is published versus still draft
Questions
Why are there so few commercial tools tagged for SAE G-34?
We only tag a tool when the cited public page names this framework (or, for SAE G-34, EUROCAE WG-114, ED-324 or ARP6983). We do not infer support from a related aviation standard.
Where are the official SAE G-34 documents?
The official documents and working-group pages are listed on this page and on the SAE G-34 explainer.