
Secured funding
Payveris LLC has received a total of USD5.2m in funding, led by Ironwood Capital Connecticut and Connecticut Innovations. The company specialises in next generation online and mobile payments offering a range of bill payment and interbank transfer solutions to banks and credit unions. Other investors include David Dame, managing director of Sorenson Capital and Louis Hernandez, president and CEO of Avid Technology, Inc. and former chairman and CEO of Open Solutions.
Payveris will use the funds to support its growing network of distribution partners and clients and expand its sales and marketing capabilities, according to Payveris President Fran Duggan. The company continues to invest in its cloud-based payment platform to offer unique processing solutions that meet the demands of today’s online and mobile customers.
“Banks and credit unions were created to facilitate commerce and are highly regulated to ensure that people’s money is protected. However, their technological capabilities have not kept pace with today’s increasing demand for online and mobile payment choices,” Duggan said. “Payveris’ ePayments technology can help banks reduce transaction costs and reclaim their role as the trusted provider of payment services.”
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