The United States alone has over 4,000 undergraduate colleges enrolling over
10 million students a year. Yet when it comes to finding the right college, every
student must search through dozens of websites, go on multiple college visits and
speak with their parents or a counselor. Finding a college doesn't have to be so
Every college has a unique set of attributes, from their greek life, to their academic
ranking, to their athletic facilities. Every student also has a unique set of characteristics,
like the kind of weather they like, what activities they enjoy and what they like (or dislike)
to study. By using extensive college datasets, thousands of student survey responses and cutting
edge machine learning techniques we can quickly and painlessly narrow a student's college search
to a small set of potential colleges for the student to search through.
A simple survey is used to assess an individual's personality profile. This personality profile
then enters an advanced machine learning algorithm that compares the student's profile to thousands
of other student and alumni profiles that link the student to a set of potential school. The candidate
colleges are then displayed to the user with additional information indicating why the algorithm thought
that college was best for the individual's personality.
Our goal is to make the college discovery process as easy and painless as possible.
Check out our quick match survey!