I have spent all my career in Financial Services Industry. During those years, I had the chance of observing development of risk score cards and customer intelligence collections. All the risk projects that I contributed were focusing only on financial data and its derivatives. Therefore, Crede team decided to come with a complementary solution.

CredIS is an intelligence suite that is focusing on non-financial data and pattern like relations.

CredIS infrastructure:

• Collects digital footprints of companies 7/24,
• Searches for risky patterns by scanning the events going back in time,
• Continuously improves its patterns by using machine learning algorithms

Today, this suite is not used only by financial institutions but also payment systems, manufacturing (for sellers), energy industry. Because these industries that were lacking objective and analytical risk information, can now reach it by using CredIS.