ACI Worldwide delivers the software and solutions that power the global economy. Our mission-critical real-time payment solutions enable corporations to process and manage digital payments, power omni-commerce payments, present and process bill payments, and manage fraud and risk.

Year founded 

1975

Website 

https://www.aciworldwide.com/

Target group 

• Merchants: retail, gaming and digital goods, travel, telecommunications, grocery, restaurants, fuel and convenience, hospitality.

• Merchant intermediaries/payment intermediaries, banking, consumer finance, insurance, government, higher education, healthcare.

• Marketplaces

• PSP

• Fintech

• Banks

• Brokers, crypto exchange, FX brokers

Supported regions 

Global

Contact 

Annett Van de Bunt, Head of Marketing Payments Solutions

Company’s tagline 

Driving the digital transformation of banks, merchants, and billers to help them meet the real-time payment needs of their consumers and business customers.

Member of industry association and/or initiatives

Merchant Risk Council (MRC), NRF, MAG, Vendorcom, EBA, US Faster Payments Council, Open Banking, ATMIA, CEPS/ECRI, InfraGard, IFX, NACHA, NSPO, PSR, SWIFT, US Payments Forum, Women in Payments.

Core solution

ACI Worldwide serves the full payment ecosystem, processing and managing digital payments, managing fraud and risk for merchants, banks, and intermediaries.

Core solution/problems the company solves

The company enables omni-commerce payments through its payments and fraud orchestration platform. ACI Fraud Management is a real-time, cloud-based, managed service that uses advanced AI (Artificial Intelligence), ML (Machine Learning) and behavioural analytics to identify and assess inconsistent and unexpected patterns and behaviours. The solution automatically advises and alerts enterprises and merchants about potential threats or anomalies.

Technology

Cloud-enabled

Data input

Methodology

Machine learning

ACI patented AI Incremental learning providing Self-Learning ML models. ACI’s incremental learning algorithm allows machine learning models to adjust to new behaviours without the need to re-learn everything they already know. This means that new data can be input on a daily basis and new behaviours can b e identified in near real-time. Machine learning model performance lasts for longer without degradation and reduces the need for often costly model refreshes. It improves fraud detection by up to 85% and can also reduce fraud losses by up to 75%. In production, ACI incremental learning has been shown to outperform traditional ML by 15%.

Decisioning