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Airwallex is a multinational financial technology company offering financial services and software as a service (SaaS). Founded in 2015 in Melbourne, Australia [3] and currently based in Singapore, [1] the company is a financial technology platform providing cross-border payments and financial services to businesses through a proprietary banking network and its API.
As of 2020, Hillhouse was an investor in companies such as Airwallex. [14] Hillhouse was nearing raising US$18 billion to back three new funds in May 2021, higher than the projected $13 billion in April 2021, according to reports, with $10 billion to be allocated to buyouts, and the rest "split between growth equity and venture."
Airwallex, a Melbourne-based cross-border financial startup that achieved "unicorn" status last year, announced today that it has raised a $160 million Series D. The round included ANZi Ventures ...
E-commerce and other online businesses are becoming increasingly global in their operations and customer bases, and a startup called Airwallex -- which has built a banking solution that addresses ...
Zhang told me he started Airwallex when he was a forex trader who had a side hustle running a coffee shop and discovered it was an expensive headache to pay suppliers in places like Guatemala.
Intel Corporation, an American multinational corporation and technology company headquartered in Santa Clara, California, is the world's largest semiconductor chip manufacturer by revenue. [ 1 ] [ 2 ] Since its inception, the company has acquired dozens of companies across the global technology industry, with seven multi-billion-dollar ...
Airwallex -- which provides business banking services directly to businesses themselves as well as via a set of APIs that power other companies' fintech products -- has raised $200 million, a ...
Voleon was founded in 2007 by Michael Kharitonov and Jon McAuliffe. Both were PhD holders and had worked at D. E. Shaw & Co. before founding the firm. In the past, they believed computers were not powerful enough to make use of machine learning in investing, nor were there enough data sets.