Global Brain

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.

Kaori Akiba

Director

Hidetaka Aoki

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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