Upscore is a credit scoring platform in the form of a mobile app which aims to drive financial inclusion across emerging markets by helping lenders approve more consumer loans. It is a highly versatile “plug and play” solution for lenders, with no data sharing requirements nor IT integration, just a “pay per check” model on demand, which favours economies of scale.

Typically, only 1 in 10 loan applicants succeed across emerging markets, usually due to data scarcity about proof of income, proof of address or credit bureau history.

The solution developed by the experienced team of Upscore complements the existing risk models used by lenders, providing alternative sources based on behavioural economics insights with a proven track record in the industry. Upscore’s credit scoring app has 3 modules: 1. Psychometric test: measures the personality of the applicant and predicts her future behaviour. 2. Mobile data analytics: used for validating address and generate an income predictor, both hard checks are required for lenders to issue loans. 3. Video analytics: Upscore’s main differentiation technology. The applicant records a 10 second video explaining why they deserve the loan, and we apply machine learning to find patterns from conversation, sentiment, context and more.

As part of the efforts to specialise in video data analytics, Upscore needs to hire micro workers to label millions of videos for training its algorithms and avoid biases. For this purpose, we are developing our own protocol on-chain, to create a marketplace where micro workers could earn Upscore’s tokens (‘UPO’) when hired by us or third parties to conduct specific tasks. As part of the goal to accelerate the transition towards financial inclusion, we are offering all loan applicants taking our scoring the possibility to start earning money with us. This concept creates a circular economy, where our scoring helps more borrowers to be approved, and those rejected now have the opportunity to earn an income, which will turn them into creditworthy a few months later.