We implement software using proprietary algorithms that provide a rating and a priority weighting to allow “like comparisons”, and advanced, predictive analysis. The software provides a system for the better understanding and use of the data generated.
The machine learning and artificial intelligence platforms we use are a combination of several models which we test for each system and application. Some of these include: random forest, logistic regression, decision tree and support vector machine (SVM). Here are some process and data visualisation examples from our models:
Cybersecurity: Open Banking API security - We have developed a platform based on “digital identity intelligence” using AI and advanced analytics, to detect and prevent fraud in real-time. Designed and built for financial institutions currently using, or transitioning to open access API technology.