Peerfin endeavors to provide the most accessible and affordable education loans based on the skill profile of the student rather than collateral. We assess students on their future earning potential, not just their credit history.
Our risk assessment includes, but is not limited to, multiple elements such as pre-study salary, university acceptance and future income to ensure individual loan affordability; as opposed to only considering historical earnings data.

Our AI engine processes the data and assigns SPQ (Student Performance Quotient), a proprietary credit rating method to each listing. Our innovative model assesses on the potential, among other variables, not just a student's current circumstances and credit history.

Peerfin then converts SPQ rating into notes. This rating is a letter that indicates the level of risk associated with a listing and corresponds to an estimated average annualized loss rate range for the listing.
After a listing is posted, lenders can place bids on that listing until the listing has received bids totaling the requested loan amount. The minimum amount a lender may bid is $50. All bids may be up to 100% of the requested loan amount. The funds are then processed to the university.