Worthy, Everyone Wealthy
To AREIX, everyone is worthy of a better financial life. Together with our intelligent financial technology, we stick to our vision and values to truly achieve personal finance management for all.
AREIX's Core Values
These are what support the vision, shape the culture and reflect what AREIX truly values. They are the essence of AREIX's identity—the principles, beliefs and philosophy of values.
Game-changing since April 2019
AREIX exist to streamlines the complicated wealth management into a piece of cake, reducing overwhelming stress about wealth management commonly felt by 21st century millennials. By leveraging machine learning capabilities in forecasting and optimization, AREIX provides highly automated, customer-centric, and goal-oriented financial robo-assistant services, resolving the common financial problems faced by millennials.
AREIX is honoured and immensely grateful for the recognition given since 2019. These are our motivation to constantly innovate and improve the way everyone deals with personal financial management.
The AREIX Advisory Board
Additional advisors to be announced
AREIX's strategic Advisors
They help evaluate major strategic decisions and determine the best path to maximising long-term value for AREIX.
Global Lead for Enterprise Fraud Solutions, SAS
Has nearly 20 years of experience on providing digital solutions for banking industry on payment fraud, transactional fraud and strategy development
YU KWOK MEI, JANET
Instructor, City University of Hong Kong
Has various professional qualitfications like Certified SAP Consultant, Certified Information Systems Auditor (CISA), Project Management Professional (PMP) and Chartered IT Professional (CITP), etc
DR. LI XIN
Associate Professor, Department of Information Systems @CityU
Has 100+ publications on MISQ, ISR, JMIS, INFORMS JOC, DSS, I&M, JASIST, IJEC, etc and has about 20 external and internal grants as PI and Co-I
DR. SONG LINQI
Assistant Professor, Department of Computer Science @CityU
Obtained Ph.D. degree in Electrical Engineering from UCLA and his research interests encompass information theory and coding theory, communications, machine learning and big data