Existing techniques (such as Blockchain, RFID chips, QR codes, 800 toll free numbers) are not working. They are either too expensive and inconvenient or very vulnerable to attack.
Consumers want to know if their purchases are genuine, but, at present, there is no universal platform to allow them to check and track.
Producers want to ensure that only genuine products are delivered to their customers, but often they cannot track the products' journey and guarantee the products' authenticity.
Producers want to interact with their customers, for example by using loyalty point programs or market promotions, but there is no readily available channel or affordable system.
Former Lead expert from Alibaba (Alipay), specializing in cryptography, Blockchain and anti-counterfeiting technology. He was former technology Vice President of JP Morgan Chase Bank specializing in highly secure and reliable enterprise application design and implementation.
Dr. Quan graduated from Shanghai Jiao Tong University (one of the top 5 universities in China), he holds a doctor's degree in Pattern Recognition. He has published many world recognised papers related to machine learning and pattern recognition. Four of the papers were cited in the Science Citation Index (SCI), eight of them were cited by the Engineering Index (EI). During his 13 years of professional work, he has successfully applied these theories into data modelling and machine learning application development.
Paul has a strong academic background in the theory of Information Security and Cryptographic. He was one of pioneers in cryptocurrency, much of his research and design related to Bitcoin started in 2009. He has foreseen the strong growth of this technology back to then. He is also a person of 'make things happen'. During his 20+ years of professional career in IT, he has built many critical systems including one of the world’s first clinical randomised controlled trials of computer supported treatment systems. He is also a passionate mentor, helping young talent to adopt best practice on system design to achieve well formulated systems including managing information security, stability and performance. Paul has shared his experience world wide with many clients and partners in Asia and Europe have benefited from his wide experience. He has also presented at conferences and meetings as well as collaborated with institutions such as Harvard University in the USA, Ghana Technology University in Accra, Suzhou University in China. UK
Mandy has 17 years IT experience. She was Director of JD.com (one of top three e-commerce platforms in the world), responsible for the whole its IT planning and implementation. Before that, she worked for various renowned companies/organisations such as Dell, 29th Olympic Committee. Her management skills are pivotal to No Fake Today and are essential to the project’s success.
Ray has 7 years of development experience. He was technical Manger in Sina.com, in charge
of applications with 10+ million daily active users.
New Zealand
With 10 years of working experience in the financial industry, Vicky is Charted Financial Analyst (CFA) and Financial Risk Manager (FRM) certificated. A former Wall Street Senior Analyst for JP Morgan & Standard Chartered, specialising in applying financial theory into real world applications.
Dr. Lucy Kuang, has worked for 20+ years as a logistics and supply chain expert with extensive experience of developing logistics and supply chain strategies for international partners. Having completed an MBA and a PhD specialising in international logistics and supply chain management, she has a good understanding of the business conducted worldwide as well as logistics and supply chain innovation with the help of IT. She is passionate about latest technology such as Blockchain, Location Based Services, Big Data Analysis, Supply Chain innovation. She is one of pioneers who suggested and assisted logistic companies to adopt and use Blockchain to solve the day-to-day challenges such as food tracing, inventory management, supply chain finance.
