Japanese instant-credit provider Paidy raises $143 million from investors including PayPal Ventures

INSUBCONTINENT EXCLUSIVE:
Paidy, a Japanese financial tech startup that provides instant credit to consumers in Japan, announced today that it has raised a total of
$143 million in new financing
This includes a $83 million Series C extension from investors including PayPal Ventures and debt financing of $60 million
base to 11 million accounts by the end of 2020.In addition to PayPal Ventures, investors in the Series C extension also include Soros
Capital Management, JS Capital Management and Tybourne Capital Management, along with another undisclosed investor
The debt financing is from Goldman Sachs Japan, Mizuho Bank, Sumitomo Mitsui Banking Corporation and Sumitomo Mitsui Trust Bank
Earlier this month, Paidy and Goldman Sachs Japan established a warehouse facility valued at $52 million
Paidy also established credit facility worth $8 million with the three banks.This is the largest investment to date in the Japanese
financial tech industry, according to data cited by Paidy and brings the total investment the company has raised so far to $163 million
A representative for the startup says it decided to extend its Series C (announced last year) instead of moving onto a D round to preserve
the equity ratio for existing investors and issue the same preferred shares as its previous funding rounds.Launched in 2014, Paidy was
is relatively high
Instead, many prefer to pay cash on delivery or at convenience stores and other pickup locations
While this makes online shopping easier for consumers, it presents several challenges for sellers, because they need to cover the cost of
merchandise online without needing to create an account first or use their credit cards
If a seller offers Paidy as a payment method, customers can check out by entering their mobile phone numbers and email addresses, which are
then authenticated with code sent through SMS or voice
Paidy covers the cost of the items and bills customers monthly
Paidy uses proprietary machine learning models to score the creditworthiness of users, and says its service can help reduce incomplete
purchases.