HACARUS will be speaking at the Global Corporate Venturing (GCV) Asia Congress held at Sony’s Tokyo headquarters, on November 7th.
In a panel titled “Corporate Investors & their Startup“, HACARUS’ Global Partnerships & Marketing lead Adrian V.J Sossna will discuss lessons learn going global as a Japanese start-up. The session will be focused on global expansion both from a customer scaling and investment perspective, hosted by Noriya Tarutani, Deputy Director-General, Innovation Department, JETRO (JETRO) and also include Hiroshi Sugiyama, Advisor, Global Business Strategy Advisor, Global Business Strategy, DAIZ Inc.
JETRO invited HACARUS to participate on the panel.
GCV provides information, insights and access to the global venturing and innovation community via a range of services – notably News & Analysis, Community & Events, and the GCV Institute. It was founded in 2010 by James Mawson.This edition of the conference takes a deep dive into the APAC ecosystem to explore pertinent themes and best practices in the CVC and wider investment landscape in Japan and South Korea. This year’s programme will provide an insight into specific themes such as sustainability, ESG and technologies such as AI and robotics, with a further emphasis on the opportunities and challenges that distinguish the Asian markets. There will also be a focus on connecting women in venture in the region.
About HACARUS
HACARUS INC, on a mission to bring the next generation of instruments to every industry, has since its founding in 2014, supplied AI solutions across the medical, manufacturing and construction fields in Japan – and beyond. Headquartered in Kyoto, Japan, and backed by Daikin, Osaka Gas and Miyako Capital (Kyoto University), among others, its technology enables humans to make better, faster, and more reliable decisions based on data-driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time, and energy-efficient when compared to Deep Learning. To learn more, visit https://hacarus.com
