
Partnering Bancnet
A subsidiary of Freeport Capital, a Mobile Credit and PIN Debit payment solutions provider, called Hybrid Paytech, has signed a managed service agreement with Bancnet, an electronic banking consortium in the Philippines (view press release). Hybrid will become an authorised POS hardware provider to BancNet and will work cooperatively to integrate standard POS terminals and mobile handheld technology to the BancNet POS network.
“Hybrid Paytech Asia’s breadth of merchant services and thoroughness of compliance with current and emerging payment standards set them apart as a mobile payment provider,” said Robert Blas, president of BancNet. “We are happy to partner with a corporation that has an in-depth knowledge of the global payment environment to complement our existing payment offerings to our member banks.”
“The initial implementation will be as a standard BancNet terminal provider but we look forward to progressing our relationship to include mobile payments via Hybrid Paytech’s mobile ecosystem that targets Smart Phones, Tablets, PDA’s and other mobile devices supporting Android, Windows Mobile, BB, and Apple iOS operating systems,”said Gary Repchuk, president of Hybrid Paytech.
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more