AI-augmented video assessment for clinical competency evaluation. Leverage video recordings and AI to provide consistent, objective, and defensible skill checkoffs with timestamped feedback aligned to rubrics. Improve scalability and reduce rater variability while maintaining clinical integrity.

Key Features

AI-Augmented Video Assessment

Leverage video recordings and AI to provide consistent, objective, and defensible skill checkoffs with timestamped feedback aligned to rubrics.

Objective Evaluation

Reduce rater variability and fatigue with algorithmic application of the same criteria, ensuring consistent evaluation across all students.

Timestamped Documentation

Generate timestamped, rubric-aligned feedback that creates a traceable digital artifact of performance for remediation, quality improvement, and accreditation reporting.

Scalable Assessment

Consistent evaluation across large student cohorts without proportional faculty time increases, enabling programs to scale assessment efficiently.

How It Works

Set Rubric & Steps

Educators define the rubric and specific steps for each skill checkoff, establishing clear evaluation criteria and performance expectations.

Assign to Students

Students receive their assigned checkoff tasks and record their video performance, then upload it to the platform for evaluation.

AI Analysis & Grading

AI analyzes the uploaded video, automatically grading performance against the rubric and identifying areas of strength and improvement.

Detailed Feedback

The AI generates comprehensive feedback with comments and timestamps for each rubric area, providing specific, actionable insights tied to exact moments in the video.

Educator Review & Approval

The evaluated video and AI feedback are sent to the educator for final review. Educators can approve, modify, or add additional feedback using Human-in-the-Loop (HITL) workflows.

Defensible skills checkoffs with Vision AI.