China's startup Manycore Tech, focused on spatial intelligence, went public on the Hong Kong Stock Exchange today, generating $130 million from its initial public offering. Founded in 2011, Manycore is part of the group known as the 'Six Little Dragons' of Hangzhou's burgeoning tech and AI scene. Its approach involves utilizing a vast repository of 3D assets, as opposed to relying solely on video data, to create AI models capable of functioning autonomously in the physical world. This method marks a significant departure from traditional large language model strategies, which have been primarily language-based. The company experienced a notable revenue increase, generating approximately 820 million Chinese yuan (around $120 million) last year, representing an 8.6% growth from the previous year. Manycore's decision to opt for a Hong Kong listing comes after previous attempts to join the U.S. market were hindered by regulatory scrutiny, particularly following the case of Didi Global, which faced severe consequences after its own U.S. IPO. Huang, the CEO, indicated that the current climate favors Hong Kong listings for Chinese AI firms, pointing to the city's role as an emerging hub for tech investment. Manycore's IPO is part of a larger trend, as Hong Kong has seen a wave of AI companies seeking public investment. Previously, numerous Chinese startups have embraced open-source models, contributing to their reputations and acceptance in global markets, including Silicon Valley. However, with the challenges in monetizing AI work, some Chinese firms have begun exploring proprietary strategies. Industry stakeholders highlight that having a competitive edge, backed by robust datasets, enables Manycore to consider open-source options while maintaining priority on their proprietary strengths. The success of Manycore demonstrates a response to the fast-paced developments in the AI sector, not just in China but across the Asian continent as a whole. Investment firms like Granite Asia are focusing on broadening their reach across various markets in the region, suggesting that many companies may have to reassess their strategies in the evolving landscape of AI technology and investment.