Hong Kong Fintech startup uses AI to drastically streamline workflows for capital markets and empower professional services
- Harnessing the power of deep learning to handle the massive amount of data required for initial public offerings (IPOs).
- Aims to reduce time to verify IPO prospectus by 75 percent
- Aspires to become the Automated Intelligent SaaS (Software as a Service) Platform for the capital market
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With over 1,600 IPOs launched this year globally to-date, amidst an ever-escalating information overload, the amount of data crunching in the due diligence process undergone by bankers and lawyers can be tedious and time-consuming. Can technology help?
Rigorous due diligence is an indispensable part of the IPO progress. This thorough assessment of the financial, legal, commercial, and operational aspects of the issuer delivers crucial insights into the sustainability of the business. If not properly verified, the disclosure of these insights through the prospectus may mislead investors and could lead to litigations and financial loss not just for the issuer but also the sponsors.
Calvin Cheng, founder and CEO of Wizpresso, believes the time is ripe for artificial intelligence (AI) to step in and augment professional services in IPO due diligence. Cheng used to work in banking, a field that you don’t normally associate with AI. Whilst in banking, he saw the pain points of analysing unstructured data specifically for capital financing transactions and credit assessments which eventually led him to found a tech start-up that would fill that niche.
“Due diligence for an IPO is a lengthy and expensive process involving many parties. This is why on average 5 to 7 percent of the gross IPO proceeds goes to fees. In addition, IPO verification is a tedious process that most juniors don’t enjoy doing, causing big firms talent retention issues.” Cheng explained.
“There is a compelling need to augment the IPO process by introducing new technologies, and this is where the idea of using natural language processing (NLP) to analyse documents comes in.”