Automate Accreditation Evidence with AI + XR

End the retrospective scramble. Capture performance-based proof continuously and generate audit-ready reports on demand.

From Panic Cycles to Continuous Confidence

The traditional accreditation process drains thousands of faculty hours, relying on anecdotal, retrospective evidence scattered across systems. EON Accredit™ replaces the scramble with always-on, performance-based proof captured during real XR learning.

Manual → Automated

Evidence captured in real time as students act.

Anecdotal → Objective

Granular, time-stamped performance data.

Static → Live

Dashboards mapped to standards on demand.

Stress → Predictable

Always audit-ready, no last‑minute chaos.

Meet EON Accredit™

An integrated AI + XR system that captures, analyzes, and maps performance data to accreditation standards—producing live dashboards and one‑click, audit‑ready reports.

Automated Data Capture

Logs every action and decision within XR modules with timestamps and context.

Standards Mapping

AI-assisted tagging aligns learning tasks to ABET, LCME and program standards.

Audit‑Ready Outputs

Generate comprehensive reports formatted to accreditor requirements.

Capabilities That End the Scramble

Real-Time Dashboards

Track progress against standards across cohorts, courses, and time windows with drill‑downs.

XR Evidence Capture

Every simulated task (e.g., medical procedure, lab titration) becomes structured, time‑stamped proof.

AI Standards Mapping

Use EON Train AI to tag experiences to ABET/LCME/etc.; suggestions auto‑populate competencies.

One‑Click Reports

Export accreditors’ formats with embedded charts, tables, and linked evidence trails.