The Fund will be focused on investing in global deep technology trends, hyperscale data centres, artificial intelligence, blockchain, quantum and renewable energy infrastructure.
Fund Information | |
Fund Type | : open–ended |
Max Fund size | : USD 100,000,000 |
Initial Closing Amount | : USD 15,000,000 |
Min. Capital Commitment | : USD 100,000 |
Targeted Return | : 8% |
Management Fee | : 2% per annum |
Performance Fee | : 20% |
Initial Lock-in Period | : 5 years |
Fund Type: open-ended
Max Fund Size:
USD 100,000,000
Initial Closing:
USD 15,000,000
Min. Capital Commitment:
USD 100,000
Targeted Return: 8%
Management Fee: 2% per annum
Performance Fee: 20%
Initial Lock-in Period: 5 years
COMPUTING INFRASTRUCTURE
We believe on the future of WEB3, blockchain and Generative A.I. The technology use cases are the fabric frontier of the new global economy.
Energy
We believe in both electrons and molecules as the crucial source of power to every human activity in future.
CONNECTIVITY
We envision the key enabler to a digital transformation is connectivity to the mass number of computers around the world
AISA CAPITAL INC is an asset management company founded by a team of experienced C-Level Management with at least 25 years of experience in operating Global Multi-Nationals and Public Listed companies.
We have access to regional expansion opportunities and access to regional opportunities spanning from China, Hong Kong, Middle East and ASEAN. Investors can expect a wide range of high return projects and Founder/Entrepreneurs may find opportunities to expand into other countries.
We have aisa.X that collaborates with renowned universities to access the latest technology and work with companies to resolve their business problem statements. This is a privilege extended to our investors and founder/entrepreneur.
Yuan has 25 years experience as C-Level executive with expertise in strategy, merger & acquisition, corporate structuring, financial management and technical in technology, telecommunication and energy infrastructure markets with multinational companies and most recent decade as the Group CEO of a Malaysian based Public Listed Company.
Yuan earned his Bachelor of Engineering (With Honors) from University of Malaya and subsequently obtained a Master of Business Administration (FINANCE) from Australia.
Jason has more than 25 years of experience in fund management, equities sales and analysis. He most recently served as Director of Investment in Fortress Capital Asset Management and earlier as CEO and CIO of Libra Invest Bhd. Prior to that, Jason was the Head of Equities Sales of Macquarie Capital Securities (Malaysia).
He qualified as a Chartered Financial Analyst and served on the Board of CFA Society Malaysia since 2000 and is the immediate past president of the said Society. He has served as President Council Representative for APAC South of CFA Institute.
Dr. Chan is a full Professor at Universiti Malaya (UM) in Kuala Lumpur, Malaysia, where he leads a dynamic research team specializing in computer vision and machine learning. With his team, he has published over 100 papers in prestigious peer-reviewed conferences and journals such as CVPR, NeurIPS, TPAMI, and TIP.
He serves as an Associate Editor for Pattern Recognition (Elsevier) and has co-organized numerous workshops, tutorials, and challenges at major computer vision and machine learning conferences.
Dr. Chan has been recognized as one of the Top Research Scientists in Malaysia (TRSM) in 2022 and was a member of the Young Scientists Network of the Academy of Sciences Malaysia (YSN-ASM) in 2015. He also received the Hitachi Research Fellowship in 2013. Additionally, he is a Senior Member of the IEEE, a Professional Engineer with the Board of Engineers Malaysia (BEM), and a Chartered Engineer with the Institution of Engineering and Technology (IET).
From 2020 to 2022, Dr. Chan was seconded to the Ministry of Science, Technology, and Innovation (MOSTI) as the Lead of the PICC Unit under COVID-19 Immunisation Task Force (CITF), and also served as the Undersecretary for the Division of Data Strategy and Foresight.