The Problem

Student success rate is too low in our schools and many students are not achieving their full potential. 

The Solution

We can ingest both unstructured and structured data sources and build predictive models that identify correlations between student, course and college/university. The models will assist in accurately creating student profiles to quickly and efficiently identify those at risk of dropping out.

The Benefit

Improved student success will lead to increased funding for colleges and universities.