Hurricane Capital, a global asset management firm focused on AI innovation in finance, has announced its acquisition of Kiyomi AI, a next-generation portfolio intelligence layer designed to support institutional finance workflows. This move follows Hurricane Capital’s strategic investment in Transient.
AI in 2025, furthering its objective to redefine institutional trading through artificial intelligence.
Kiyomi AI was developed by Jacob Koenig, former Head of Taiwan Execution Services at Goldman Sachs. The platform integrates robust institutional trading knowledge and market-structure expertise, leveraging domain insight and advanced AI capabilities to identify patterns and drivers within portfolios. Mr. Koenig stated, “I am thrilled to be partnering with Hurricane Capital and Transient.
AI to bring Kiyomi AI to life. Kiyomi means ‘Pure Sight’ in Japanese, and that’s exactly what we’re building: an awareness layer that cuts through the noise to show you what’s actually moving your book and why. Hurricane’s technology is years ahead of the industry, and Kiyomi is a showcase of what’s possible when deep market expertise meets cutting-edge AI.”
With this acquisition, Kiyomi AI will be integrated into Transient.
AI, powered by its proprietary Declarative AI framework. This integration aims to establish a new standard for execution intelligence, delivering institutional-grade governance, security, and data control. It also enables seamless interoperability and massively scalable AI model orchestration.
Kiyomi AI will be offered as part of the Transient.
AI SaaS suite, introducing an intelligence layer designed to support indicative, AI-driven trading capabilities in the near future. This addition is intended to enhance the Transient AI SaaS product suite for fund managers of various sizes across multiple asset classes.
The acquisition underscores Hurricane Capital’s ongoing commitment to integrating advanced technologies to improve global fund performance. By combining institutional-grade AI with deep trading expertise, the firm aims to differentiate its approach in data-driven asset management.
