Certifying GRG International
Fiserv has announced that it has certified GRG International ATMs for the Canadian market. Canadian financial institutions, retailers and independent sales organizations now have the opportunity to use GRG’s EMV-compliant ATMs to process transactions through POSHnet. POSHnet is a Canadian network gateway switching solution that was added to the Fiserv payments portfolio as part of the acquisition of Open Solutions, Inc. in January 2013.
GRG International offers GRG Banking ATMs, management software and related services in the United States, United Kingdom, Ireland, Australia, South Africa, India, Mexico and now Canada. To introduce its ATMs into the Canadian market, GRG needed to certify them with a Canadian processor for use on the Interac, Visa and MasterCard payment networks.
“Canada is a strategic market for GRG and we wanted to work with the best,” said Brian Kett, North American president, GRG International. “Fiserv, through POSHnet, is an acknowledged leader in the Canadian payments industry and we couldn’t have asked for a better certification and processing partner. Fiserv has the experience, expertise and solutions required to certify our devices and help our customers get the most out of their ATMs.”
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
