Ondine Capital Reaches First Close of Third Venture Fund
Ondine Capital completed the initial close of its third US dollar venture fund to invest in artificial intelligence and semiconductor technology companies across Asia
Taipei, Taiwan – On November 3, 2026, Ondine Capital announced the successful first close of its third venture capital fund, Ondine Capital Fund III. This USD-denominated fund attracted commitments from prominent institutional and strategic investors, including several leading semiconductor enterprises in Taiwan.
Led by Brian Yen, a new partner, Ondine Capital Fund III will invest across the entire AI value chain, encompassing AI foundation models, next-generation semiconductors, AI infrastructure, AI-native software, and physical AI applications. Some of the fund's early portfolio highlights include Recursive Superintelligence, Bot Auto, and Salience Labs.
Recursive Superintelligence, co-founded by former Salesforce Chief Scientist Richard Socher, is developing recursive self-improving AI systems. Bot Auto, founded by Xiaodi Hou, specializes in autonomous freight transportation, while Salience Labs focuses on silicon-photonics optical switching technology for AI data centers.
The appointment of Brian Yen as Partner signifies Ondine Capital's commitment to expanding its global ecosystem and network. Brian Yen's investment background includes consumer technologies, agentic services, and physical AI, with notable investments such as respond.io, forest inc., Braid, and iMotorbike. He will be focused on backing early-stage founders building intelligent software and physical AI platforms.
Brian Yen stated, "The convergence of AI and semiconductors is unleashing unprecedented opportunities across global tech. As these technologies mature, we anticipate monumental value creation throughout the entire stack." Ondine Capital remains actively deploying capital and exploring investment opportunities in global breakthrough AI and semiconductor companies.
Written by urgent.news from Vietnam Investment Review's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
