Global Brain Corporation, established in 1998, is a Tokyo-based venture capital firm that invests in technology-focused startups globally, from seed to pre-IPO stages. With a track record of 300+ investments, 25 IPOs, and 61 M&As, the firm provides hands-on support to its portfolio companies. Global Brain manages both independent and corporate venture capital funds, partnering with tier 1 public companies across various industries.
Investment Group Partner and Fellow Chief of Space Lab
Tatsunori Arai
Director
Megumi Asatsuma
Director
Anjani Bansal
Partner / India Office Representative
Brooke Beers
Partner
Takuji Chida
Director
Hogil Doh
General Partner
Thomas Duong
Principal
Brian Flucht
Partner / US Division Head
Hajime Furuya
Venture Partner
Kenji Hayashi
Principal
Shohei Hayashi
Partner
Harue Hayashi
Partner / Vice Chief Fund Management Officer
Jie He
Director China office Representative
Yosuke Hirai
Director
Joopyo Hong
Partner Investment Group
Naoki Horie
Principal
Jang Hyeokjin
Principal
Shohei Ichimiya
Partner / US Office
Sho Ikeda
Partner / Indonesia Office Representative
Nozomu Ikuta
Principal
Kotona Inaida
Director
Tomoaki Ishikure
Partner
Yoshinari Ito
Venture Partner
Yuki Ito
Director
Hiroyuki Izumi
Partner
Ken Kajii
General Partner
Daisuke Kashiro
General Partner
Kirin Kato
Principal
Takashi Kato
Partner, San Francisco Office Representative
Masaya Kawakami
Principal, Investment Group
Hiroyuki Kawamoto
Principal
Ko Kawaragi
Director
Maiko Kayata
Principal
ByeongJin Kim
Principal
Riichiro Kimura
Director / US NY Office
Issei Kokubu
Director
Yoshiomi Kubota
Principal
Jiro Kumakura
General Partner and Board Member
Jinya Kurita
Director
KyungHun Lee
Partner
YingQi Liang(Joy)
Principal
Chukaku Lin
Director
Atsushi Matsuda
Venture Partner
Tatsuya Matsumoto
Partner / Singapore Office Representative
Akira Matsumoto
Principal
Yuki Matsuo
Director
Natsumi Matsuoka
Principal
Tomoko Minagawa
Director
Ai Minamizaki
Principal
Shigeru Mitarai
Director
Shuhei Mori
Principal
Seiichiro Mukai
Director
Satoko Murata
Principal, Investment Group
Kohtaro Nagawa
Director
Tasuke Nakagawa
Partner / M&A
Mitsutaka Nakao
Principal, Investment Group
Shien Nakayama
Director
Yuya Namiki
Director
Ying Jian Ng
Director
Daisuke Nishida
General Partner
Yukari Nishiyama
Director, Investment Group
Akiko Noguchi
Director
Rina Obi
Investment Group Director, Berlin Office
Sho Ohtani
Principal
Tetsui Okada
Director
Mayu Okamoto
Director
Akane Okuyama
Director
Shingo Otaki
Partner
Rampalli Karthik
Principal
Naoki Sadakuni
Venture Partner
Enen Sai
Principal
Youichi Sakagawa
Director, Investment Group
Kazuki Sakuragawa
Partner / Editor in Chief
Masumi Sato
Principal
Naoki Sato
Principal, Investment Group
Tomoki Sekiguchi
Principal
Rie Shibata
Director
Takeru Shigemura
Director
Miku Shimamura
Principal
Masamune Shin
General Partner
Ayu Shinoyama
CFO and Board Member
Chisa Shinsakaue
Director
Divyansh Singh
Principal
Hiroto Sorita
Director
Sachiko Sugiura
Director
Yusuke Suzuki
Partner
Kazumo Tachibana
Director
Mana Takabayashi
Director
Hiroki Takai
Director
Toko Takao
Principal
Hideyuki Tanaka
Director
Marika Tazaki
Partner
Hirotaka Togashi
Director
Haruka Tsujii
Director
Atsushi Ueda Ph.D
Principal, Investment Group
Takuya Ukai
Principal, Investment Group
Tetsuya Urimoto
Director
Noriko Usui
Partner / Chief Fund Management Officer
Keita Washizu
Principal
Masao Yamada
Senior Partner
Kazunori Yamaguchi
Partner, Investment Group
Kazunor Yamaguchi
Partner
Ryozo Yamamoto
Partner
Michiko Yamazaki
Principal, Investment Group
Takuro Yoda
Principal, Investment Group
Sayaka Yoshino
Director
Miku Yoshio
Partner
Yasuhiko Yurimoto
Founder, Owner, CEO and General Partner
Miyazawa Yusuke
Venture Partner
Lusheng Zou
Director
Takuya Hosomura
Partner
Past deals in Computer Vision
Rutilea
Series D in 2024
Rutilea is an IT company focused on addressing social challenges through open-source solutions. It specializes in developing a zero-code task recognition system that enhances operational efficiency, quality, and safety across various industries. Utilizing multimodal artificial intelligence, Rutilea's system accurately identifies tasks in diverse environments, facilitating automation in factories and retail settings. This approach empowers businesses to make data-driven decisions and significantly improve productivity. By advancing the concept of "AI teaching AI," Rutilea aims to redefine automation and operational processes, contributing to a more efficient and effective work environment.
ThinkCyte
Series C in 2024
ThinkCyte, Inc. is a biotechnology company based in Tokyo, Japan, with an additional office in San Carlos, California. Founded in 2016, it specializes in developing an innovative cell sorting technology known as ghost cytometry, which leverages advanced optics and machine learning to perform high-throughput, image-free analysis and sorting of cells based on their morphology. This technology is designed for various applications in research, diagnostics, and therapeutics, facilitating single-cell analysis that is crucial for drug discovery, cell therapy, and clinical diagnostics. By enabling researchers to identify and isolate target cells, including rare cells, in real time, ThinkCyte aims to enhance the efficiency and accuracy of biological research and medical applications.
Hayden AI
Series B in 2023
Hayden AI focuses on developing artificial intelligence and machine learning technologies aimed at enhancing urban mobility and safety. The company specializes in automated enforcement solutions for dedicated bus lanes and bus stops, which are designed to expedite public transit and improve the overall quality of life in urban areas. By leveraging advanced technology and a network of mobile devices, Hayden AI works to create safer and smarter cities. Its platform enables clients to utilize AI-powered tools that can detect and analyze traffic incidents, contributing to more efficient traffic management and fostering a sustainable urban environment.
Rutilea
Series C in 2023
Rutilea is an IT company focused on addressing social challenges through open-source solutions. It specializes in developing a zero-code task recognition system that enhances operational efficiency, quality, and safety across various industries. Utilizing multimodal artificial intelligence, Rutilea's system accurately identifies tasks in diverse environments, facilitating automation in factories and retail settings. This approach empowers businesses to make data-driven decisions and significantly improve productivity. By advancing the concept of "AI teaching AI," Rutilea aims to redefine automation and operational processes, contributing to a more efficient and effective work environment.
Rutilea
Series C in 2023
Rutilea is an IT company focused on addressing social challenges through open-source solutions. It specializes in developing a zero-code task recognition system that enhances operational efficiency, quality, and safety across various industries. Utilizing multimodal artificial intelligence, Rutilea's system accurately identifies tasks in diverse environments, facilitating automation in factories and retail settings. This approach empowers businesses to make data-driven decisions and significantly improve productivity. By advancing the concept of "AI teaching AI," Rutilea aims to redefine automation and operational processes, contributing to a more efficient and effective work environment.
Hayden AI
Series B in 2023
Hayden AI focuses on developing artificial intelligence and machine learning technologies aimed at enhancing urban mobility and safety. The company specializes in automated enforcement solutions for dedicated bus lanes and bus stops, which are designed to expedite public transit and improve the overall quality of life in urban areas. By leveraging advanced technology and a network of mobile devices, Hayden AI works to create safer and smarter cities. Its platform enables clients to utilize AI-powered tools that can detect and analyze traffic incidents, contributing to more efficient traffic management and fostering a sustainable urban environment.
SLAMcore
Series A in 2022
SLAMcore Limited specializes in developing simultaneous localization and mapping (SLAM) solutions tailored for various applications, including robotics, augmented reality, and autonomous vehicles. Founded in 2016 and based in London, the company has created advanced SLAM software that enables robots and devices equipped with outward-facing sensors to understand and navigate unfamiliar environments. Their technology includes Visual SLAM, sensor fusion, and Event Camera SLAM, which collectively enhance real-time spatial understanding. By fusing data from multiple sensors, SLAMcore's platform utilizes computer vision and machine learning to improve the efficiency and accuracy of robotic systems. The company offers a software development kit (SDK) that facilitates rapid prototyping for commercial products, allowing for customization on standard computing platforms. Through partnerships with original equipment manufacturers, SLAMcore aims to integrate its core technology into everyday products, making spatial intelligence more accessible and practical in various industries.
Cloudpick
Series B in 2022
Cloudpick Technology is a high-tech company focused on developing computer vision and artificial intelligence applications, particularly for the retail industry. It offers innovative AI solutions that include a patented behavior recognition and product learning algorithm engine. This technology enables accurate identification of product information and customer shopping behaviors, facilitating convenient shopping experiences such as "Grab and Go" and seamless payment options. Cloudpick aims to advance the application of artificial intelligence and big data analysis across various sectors, enhancing operational efficiency and customer satisfaction in retail environments.
Humanising Autonomy
Series A in 2021
Humanising Autonomy, based in London, is focused on transforming human-machine interactions through its innovative Behaviour AI platform. The company leverages a combination of behavioral psychology, computer vision, and advanced artificial intelligence techniques to accurately interpret and predict human behavior in real time. By analyzing camera data, its technology provides insights into pedestrian, passenger, and vehicle actions, which enhances automated decision-making systems and improves safety for transportation applications. With a commitment to ethical data use and a substantial proprietary dataset on human behavior, Humanising Autonomy supports clients in making informed business choices. The company has been recognized for its contributions to innovation, receiving awards such as the Queen’s Awards for Enterprise and the Together for Safer Roads Truck of the Future Award.
Touch To Go
Series B in 2021
Touch To Go specializes in addressing labor shortages and enhancing business potential through its innovative unmanned payment systems. The company focuses on the commercialization of unmanned artificial intelligence payment stores, which are designed to streamline retail operations and improve customer service. By utilizing data captured from cameras and sensors, Touch To Go's products analyze customer and product movements in real time. This technology not only helps to alleviate staffing challenges at retail locations but also supports the transformation of existing businesses by promoting more efficient work practices.
Deeping Source
Series A in 2020
Deeping Source Inc is a technology company based in Seoul, South Korea, specializing in data anonymization. Its core technology effectively removes personally identifiable information (PII) from images and videos while maintaining the data's usability for artificial intelligence (AI) applications. The company holds global patents in this area and has developed two primary AI products. The first is an AI video analytics solution that leverages anonymized CCTV footage to provide insights into visitor behavior in retail environments and exhibition centers. The second product supports autonomous driving AI by enabling the collection of vast amounts of real-world image and video data without breaching privacy regulations. By utilizing its anonymization technology, Deeping Source allows companies to gather and utilize sensitive data securely, facilitating compliance with privacy laws such as GDPR while enhancing data-driven decision-making.
Araya
Series B in 2019
Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.
Humanising Autonomy
Seed Round in 2019
Humanising Autonomy, based in London, is focused on transforming human-machine interactions through its innovative Behaviour AI platform. The company leverages a combination of behavioral psychology, computer vision, and advanced artificial intelligence techniques to accurately interpret and predict human behavior in real time. By analyzing camera data, its technology provides insights into pedestrian, passenger, and vehicle actions, which enhances automated decision-making systems and improves safety for transportation applications. With a commitment to ethical data use and a substantial proprietary dataset on human behavior, Humanising Autonomy supports clients in making informed business choices. The company has been recognized for its contributions to innovation, receiving awards such as the Queen’s Awards for Enterprise and the Together for Safer Roads Truck of the Future Award.
Araya
Series C in 2019
Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.
Realeyes
Series B in 2019
Realeyes is a pioneering company specializing in computer vision and emotion AI. It helps businesses enhance customer experiences and drive growth by measuring human responses to video content at scale and speed. Using webcams and advanced machine learning techniques, Realeyes' platform analyzes facial expressions to quantify emotional reactions, enabling clients like Mars Inc., P&G, and Netflix to create targeted, optimized content. Over 200 leading brands and media companies rely on Realeyes for these insights.
Mad Street Den
Series B in 2019
Mad Street Den Inc. is a computer vision and artificial intelligence company founded in 2016, with headquarters in Fremont, California, and additional offices in Chennai and Bengaluru, India, and Tokyo, Japan. The company focuses on developing models of generalizable intelligence that can be applied across various industries, particularly in retail. Its flagship product, Vue.ai, is a vertically integrated AI stack designed to provide comprehensive solutions for the retail value chain, enhancing customer experiences through features such as object recognition, gaze tracking, emotion-expression detection, and 3D facial reconstruction. Mad Street Den serves clients in several sectors, including online fashion, mobile gaming, IoT, robotics, and social media, aiming to create actionable AI applications that can be scaled effectively.
Vue.ai
Series B in 2019
Vue.ai is an AI-powered experience management suite that combines the power of product, customer, and business intelligence using computer vision. By using image recognition and data science, they help retailers generate product, and customer intelligence, and combine these with market insights, to power growth. They help retailers move up the digital maturity curve with unified AI solutions that are flexible and scalable.
Mad Street Den
Series A in 2018
Mad Street Den Inc. is a computer vision and artificial intelligence company founded in 2016, with headquarters in Fremont, California, and additional offices in Chennai and Bengaluru, India, and Tokyo, Japan. The company focuses on developing models of generalizable intelligence that can be applied across various industries, particularly in retail. Its flagship product, Vue.ai, is a vertically integrated AI stack designed to provide comprehensive solutions for the retail value chain, enhancing customer experiences through features such as object recognition, gaze tracking, emotion-expression detection, and 3D facial reconstruction. Mad Street Den serves clients in several sectors, including online fashion, mobile gaming, IoT, robotics, and social media, aiming to create actionable AI applications that can be scaled effectively.
StradVision
Series A in 2018
StradVision, Inc. specializes in developing advanced perception algorithms designed to enhance the capabilities of vehicles in recognizing and understanding their surroundings. Founded in 2014 and headquartered in Seoul, South Korea, with additional offices in California, Japan, India, China, and Germany, the company provides solutions such as SVNet External for external vehicle perception and SVNet Internal for monitoring driver and passenger status. StradVision's technology supports advanced driver assistance systems and autonomous vehicle applications, utilizing camera-based perception AI and LiDAR to ensure safety and accuracy in real-time object detection and classification. The company has achieved notable rankings in technology evaluations and holds over 60 issued patents, with more than 150 pending, reflecting its commitment to innovation in the automotive sector. Its auto labeling tool enhances data training efficiency, minimizing the need for human intervention and facilitating the development of reliable self-driving capabilities.
Araya
Series A in 2017
Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.
Araya
Venture Round in 2016
Araya Inc. is a Tokyo-based company that specializes in developing artificial intelligence software solutions. Founded in 2013, the company focuses on deep learning algorithms that facilitate real-time image recognition and processing services, enabling the identification of various individuals and objects in images and videos. Araya's technology also includes deep reinforcement learning, allowing for the autonomous movement of drones and robots. Additionally, the company has developed a unique deep learning compression technology that enhances the efficiency of its algorithms, making them smaller and faster while maintaining accuracy. By aiming to advance the capabilities of artificial intelligence towards potential artificial consciousness, Araya seeks to address the diverse needs of its clients through innovative AI services.
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