Swoosh English
Built an AI system to grade and evaluate non-native English-speaking medical students during their spoken-English exams.
Key Results
Grading accuracy
Reduction in assessment costs
Reduction in assessment time
The Challenge
Assessing spoken English for non-native medical students is expensive and time-consuming. Each exam needs expert human markers, which limits how many students can be assessed and how quickly results can be turned around — a real bottleneck for a growing cohort.
The Solution
We built an AI system to grade and evaluate students' spoken English during their exams, consistently and at scale.
Automated Spoken-English Grading
Evaluates non-native English-speaking medical students during their spoken-English exams.
Consistent, Scalable Assessment
Removes the cost and turnaround constraints of relying solely on human markers.
The Impact
Tangible Outcomes
Reached 93% grading accuracy against expert assessment
Cut assessment costs by ~50%
Reduced assessment time by ~45%
Enabled consistent grading at scale
Key Takeaway
Showed that a carefully built AI assessment system can match expert grading closely while dramatically lowering the cost and time of evaluating spoken language.
Need to Assess at Scale Without Losing Accuracy?
Let's discuss how AI assessment can cut cost and turnaround while keeping quality high.