WCAG-mapped reports you can act on
AI analyses every session and produces prioritised, developer-ready accessibility reports with fix recommendations.
After each testing session, our AI combines behavioural data, emotional signals, and tester feedback to produce a comprehensive accessibility report.
Every issue is mapped to WCAG 2.2 success criteria, prioritised by severity, and accompanied by concrete fix recommendations your developers can implement immediately.
3
Data Streams
Fused per report
100%
WCAG 2.2 Mapped
Every finding traced
PDF + Web
Export Formats
Shareable across teams
Round-on-Round
Trend Tracking
Measure improvement
Key capabilities
Everything you need from ai reports, built into one platform.
WCAG 2.2 Mapping
Every finding is linked to the relevant WCAG success criteria with severity classification (Critical, Major, Minor).
Developer-Ready Fixes
Each finding includes concrete recommendations and before/after examples your developers can implement.
Executive Summary
A plain-English overview for stakeholders covering overall accessibility score, top risks, and recommended next steps.
How it works
Sessions complete
Once all testers finish their sessions, the AI ingests all three data streams: behaviour, emotion, and voice.
AI correlates signals
Frustration spikes are matched with rage clicks and voiced complaints to build a complete picture of each issue.
Findings prioritised
Each issue is severity-ranked (Critical, Major, Minor) and mapped to the exact WCAG 2.2 success criteria.
Report delivered
You get a prioritised list of findings with fix recommendations, video timestamps, and an executive summary.
What you get
Isometric illustration of the AI report generation pipeline
Ready to see ai reports in action?
Start with a free automated audit, or talk to an expert to see the full platform with real neurodivergent testers.