Leading University uses AI from Aible to mitigate student attrition by 12% in 30 days
Company Profile

Leading Private University


Higher Education




A large private university aimed to improve student retention and optimize student welfare, particularly among undergraduate first-year students.


Aible identified students who were most likely to attrit and the best ways to intervene to improve retention. This helped the center for academic and student achievement target and prioritize their retention efforts to the most at-risk students. Numerous next steps were identified.


Aible helped identify ways to reduce student attrition by 12%.

"AI doesn’t work in a vacuum. Aible’s focus on actionable insights made it easy for us to engage with key stake-holders to improve our business outcomes. This single project also sparked new discussions on process improvements in both our admissions and student retention offices.”

– Associate CIO for Solutions Development and Data Architecture

Use Case & Project Details

  • Use Case

    First-year student retention

  • Potential Project Results

    12% reduction in student attrition

  • Time from data provision to project completion:

    30 days

  • Elapsed time from start of model training to completion of over 1400 models on serverless infrastructure:

    Over 17 projects were trained in ~6 minutes per project with an average of Over 83 models per project.


Leading University uses AI from Aible to mitigate
student attrition by 12% in 30 days

More Customer Success Stories

USE CASE: Sales optimization

DURATION: 13 days

RESULTS: Identified specific
patterns to help increase expected sales efficiency by 5%

USE CASE: Investment firm focusing in building products, construction, and real estate

DURATION: 16 days

RESULTS: 10% increase in revenue

USE CASE: Marketing spend optimization by targeting prospects (who hadn’t made decision)

DURATION: 17 days

RESULTS: 50% marketing cost savings