Hong Kong-listed companies publicly incorporate decentralized prediction technology into corporate risk management for the first time.On June 22, 2026, Hong Kong-listed Beibo Group (8331) announced a strategic research collaboration with the decentralized prediction market platform SigMarket to explore the application of prediction market technology for internal corporate risk management and decision support. On June 25, 2026, another Hong Kong-listed company, Dingli Capital (356), announced the signing of a strategic cooperation memorandum with SigMarket to jointly research prediction market applications in risk management, including AI and Real World Assets (RWA).
In recent years, prediction markets have experienced explosive global growth, led by major U.S. platforms such as Polymarket and Kalshi. However, Asia has long lacked a landmark prediction market. Throughout their development, prediction markets have faced ongoing public debate regarding whether they constitute gambling. SigMarket is the first to design prediction technology as a productivity tool for internal corporate risk management. Industry observers regard it as Asia’s first prediction market seeking a breakthrough through a “de-gambling” approach.
Ethereum co-founder Vitalik Buterin has long opposed the gamification of prediction markets. He has repeatedly expressed concerns about the current direction of the industry and advocated for steering prediction markets toward “hedging, in a very generalized sense.” Miles Ng, Chief Scientist of SigMarket, stated:
“Our product design fully embodies the prediction market philosophy proposed by Vitalik Buterin — a de-gambling approach — by building a fully decentralized information finance infrastructure for generalized hedging. For future AI agents to conduct comprehensive data analysis and generalized hedging on prediction markets, the first requirement is that all transaction data must be fully on-chain and completely decentralized. If matching occurs only off-chain with results recorded on-chain, or remains entirely off-chain, it becomes merely a centralized trading market. To AI, this would be a black box — it cannot aggregate address-level behavioral data for every trade on the prediction order book, nor observe internal order placement and cancellation activities. In short, centralized prediction markets cannot earn the ‘machine trust’ of AI. Miles Ng further noted that prediction markets hold extremely high innovation potential through integration with AI, RWA, stablecoins, DeFi, and other fields. This is the key reason why prediction markets have the opportunity to become foundational infrastructure for information finance.”
As Polymarket and Kalshi establish a duopoly in the U.S. market, industry attention has increasingly turned to whether a new large-scale prediction market will emerge in Asia. The emergence of SigMarket is viewed by market observers as the first sign of Asia’s prediction market sector beginning to rise.