The development and implementation of an effective Early Warning System (EWS) was a solution to our client’s need to decrease the ratio of non-performing loans in the bank’s portfolio.

The pandemic outbreak showed that risks can be of different origins and various natures. Coronavirus has become a stress-test for many industries, including banking. And consequently, our client was affected as well. Bad and overdue credits have become a scourge, especially in the corporate banking sector.

rapid app development with Outsystems low-code

The Retail Bank received numerous complaints from its customers about the performance of existing applications. RNDpoint has already delivered its previous projects to the Bank. Therefore the Bank management invited us to rebuild the mobile applications to meet customers’ demands.

microservices architecture for banking

The microservices implementation was the next step in our collaboration with the Retail Bank that had previously ordered a new Debt Collection System. Therefore our client invited us to take part in their RFQ.

credit origination and credit decision automation

Our customer (the retail bank) received numerous complaints from its customers about the performance of existing applications. RND Point has already delivered its previous projects to the bank. Therefore the bank management invited us to rebuild the applications.

debt collections and recovery automation

The customer, the owner of the Collection system, is a sizable retail-oriented bank with a focus on lending to SMEs. Therefore, debt collection management is one of the bank’s essential business operations.

Imagine that it takes minutes for you from the bank card application to the moment you get it. And all the Bank’s customers would need is a Facebook messenger account. The messenger would cover the majority of basic functions which are usually supposed by mobile banking applications. And it also provides the opportunity to order a virtual bank card and apply for a loan.

fraud detection software in insurance

Successful fraud detection solution for municipal Insurance fund that automated the fraud identification. The decreased fraudulent cases by 26% ultimately improved anti-fraud culture.

The customer needed to service more than 500,000 pieces of equipment, which required about 1 million man-hours of maintenance per year. Implementation of decision support system allowed client to optimize predictive maintenance and automate the process of planning, avoid equipment downtime.


The leading European Bank received a system for decision support. It was based on Big Data approach that turned unstructured data in digestible data sets for building dependences and further Analysis.

A software solution that helps optimize wireless networks, make proper planning and maintenance for Telecoms. A way better efficiency in a single Telecom solution.