Our Ecosystem
SKAIZen LAB
The SKAIZen LAB , the reseach and development center of the group, is firmly committed to an innovation-driven approach focused on the banking challenges faced by our clients.
By constantly ;onitoring technlogical developments, actively participating in various events, and maintaining a strong scientific network, we re;ain at the forefront of innovation in our sector.
Perspectives
Our R&D lab investigates complex challenges in the financial sector and uss new technologies to deliver tangible solutions to our customers. Using artificial intelligence and predictive models, we have now developed tools that can analyse millions of transactions in real time to identify potential anomalies and therefore offer geater security to our financial partners.
Our teams are also working on creating synthetic transactions that can simulate and test real-world scenarios. Our researchers development teams optimise fraud detection system within the SWIFT network. These innovation improve the resilience and testing capabilities of our clients solutions.
Composed of a team of reserchers including a PhD holder, two research engineers, and several interns the lab is dedicated to finding innovative solutions to conte;porary challenges, while rescpeting sustainability principles. Thanks to ongoing technology watch, active involvemen in industry events, and a solid scientiic network, we are at the cuttinf edge of innovation in our field.
It has already proven its ability to design innovative solutions to adress the complex challenges of its clients. From detecting fradulent transactions within th swift network to generating synthetic transactions, as well as data management and artificial intelligence (AI), our expertise is widely recognized.
It has also contributed to training young talent, by recruiting one itern and two work-study students in 2021, as well as two interns in 2024,. These young talents have been helping to improve and futher develop the tool for detecting fradulent transactions and generating transactions, which led to a publication as part of Hamza Chergui with the ST-Fraud tools .
The SKAIZen Group is pursuing new perspectives by studying the use of synthetic data for transaction generation. this approach could offer significant benefits to our clients, particulary during the testing phases of information systems or in the exploration of ai techniques requiring large columes of data.