Home > Casestudies > Scoring, Data Science, AI

Scoring, Data Science, AI

Almost 4.5 billions consumers worldwide are financially excluded from lending products because banks do not have historical credit data on them. Many fintech companies are now starting to use alternate data sources and machine learning to build credit scores for those who are not on the traditional credit bureaus but are ‘digitally discoverable.’

LenddoEFL

LenddoEFL uses AI and advanced analytics to bring together digital and behavioral data to help lenders in emerging markets serve underbanked people and small businesses.

WeLab

Based in Hong Kong, WeLab’s goal is to create seamless mobile lending experiences. With its proprietary risk management technology, WeLab effectively analyzes unstructured mobile big data within seconds to make credit decisions for individual borrowers.

Stash

The goal of Stash is to provide all Americans with the education, tools and guidance needed to unlock their financial opportunity. Stash simplifies and optimizes the way customers spend, save and invest their money.

 

Juvo

Juvo’s mission is to establish financial identities for people worldwide who are creditworthy, yet financially excluded. In partnership with mobile network operators, Juvo’s proprietary Identity Scoring technology uses data science to create an identity-based relationship with anonymous prepaid users.

Affirm

Affirm offers point-of-sale financing services to individuals that enable them to buy goods and make monthly payments for the purchases.

Tala

Tala is a mobile technology startup that provides micro-loans in Kenya, Tanzania, and the Philippines. Tala mobile app uses the mobile data to help assess creditworthiness and deliver credit.

Branch Africa

Branch delivers financial services (credit) to the emerging middle class in Kenya using smartphones. It uses data on the applicant’s phone to create a credit score which is used for credit decision-making.

Oportun

Oportun is a mission-driven financial services company that uses advanced data analytics and technology to provide responsible, affordable personal loans to the 45 million Americans with little or no credit history.