Sbusiso Mdingi
Founder
Sbusiso Mdingi has a background in Actuarial Science, with interests spanning statistical modelling, quantitative risk, machine learning and network analysis. His work has focused on using data and analytical methods to understand complex risk relationships rather than treating individual observations in isolation.
Sbusiso founded Sequrin from an interest in how these methods could be applied to healthcare claims integrity. Claims that appear ordinary individually can form more meaningful patterns when relationships between providers, members, facilities, services and time are considered together. Sequrin is being built around that idea, combining analytical models, deterministic rules and network intelligence to help claims-integrity teams identify activity worth investigating.
A central principle behind Sequrin is that analytical detection should support professional judgement rather than replace it. The platform is designed to surface investigative signals and make complex relationships easier to examine, while leaving consequential decisions with authorised human investigators and the organisations responsible for them.