AI + Accessibility
Responsible AI that helps accessibility scale.
Pallyfi helps teams explore AI-driven accessibility analysis, intelligent recommendations, monitoring workflows, and human-in-the-loop remediation.
AI with expert oversight
AI can accelerate accessibility work, but expert validation keeps quality, context, and user impact at the center.
Where AI can help
- Pattern detection across repeated UI issues.
- Suggested remediation paths for design and engineering teams.
- Content and alt text review workflows.
- Regression monitoring and accessibility trend reporting.
Where humans remain essential
- User impact interpretation and prioritization.
- Complex interaction testing and screen reader validation.
- Inclusive design judgment and product tradeoffs.
- Governance, policy, and accountability.
See it in the product
Pallyfi OnCall: 11 AI tools grounded in the real WCAG 2.2 spec.
The Pallyfi app pairs a real axe-core auditing engine with a retrieval system over the WCAG 2.2 spec and ARIA Authoring Practices, so responses cite the actual standard instead of guessing from training data.