Automating Any Machine and
Innovating Global Industries
DeepX automates any machine using AI to solve real world issues.View Our Mission
Automated Operation of Hydraulic Shovels – A Solution to the Shortage of Operators
To automate various civil engineering works at construction sites, we collaborate with Fujita Co., Ltd. a major general constructor. We aim to automate the operations of a hydraulic excavator, which is a general-purpose heavy machine. The automation of the excavation work with a hydraulic excavator has been realised by utilising the image recognition technology with the state-of-the-art Deep Learning and Reinforcement Learning technology.
Food processing equipment×AI
Ishida Co., Ltd.
Tackling the Labor Shortage by Developing an Algorithm to Dispense Specific Amounts of Pasta
As food is atypical, flexible or viscous, it is difficult to be handled by machines and the operations of picking up and serving have been considered to be difficult. Therefore, these operations are handled manually at many food processing factories at present. We aim to automate these operations by controlling the arm of serving equipment with AI, in collaboration with Ishida Co., Ltd., a manufacturer of automation equipment.
In order to solve real world problems in various industries,
DeepX is automating any machinery such as industrial robots used inside factories and big heavy equipments used outdoors.
After graduating from the University of Tokyo in the Faculty of Engineering, Kaoru proceeded to study at the Graduate School of Engineering, where he received the Dean’s Award in the School of Engineering. He engaged in a wide variety of research and development as part of the Matsuo Laboratory at the University of Tokyo, including social media analysis, big data analysis, machine learning, and applied research of Deep Learning technology. In April of 2016, during his doctoral program at the Matsuo Lab., he founded DeepX, from the desire to contribute to solving social problems by means of applying artificial intelligence technology, where he assumed the roles of Representative Director and Chief Executive Officer.
Graduated from the Department of Systems Innovation, Faculty of Engineering, the University of Tokyo. Graduated from the Department of Technology Management for Innovation, the Graduate School of Engineering, the University of Tokyo (received the Dean’s Award for The Graduate School of Engineering). Since his third year of undergraduate school, he had focused on Deep Learning research at Matsuo Laboratory, and had led many joint research projects with companies as a leader. After joining DeepX, he has been working on automation projects in the area where automation has been difficult to achieve, such as a hydraulic excavator autopilot project. He assumed Director and Chief Development Officer in June, 2019.
After graduating from the University of Tokyo in the Faculty of Engineering, Reiji proceeded to study at the Graduate School of Information Science and Engineering. As an undergraduate, he engaged in HPC research, while in graduate school he researched Deep Learning and contributed to scholarship on the subject through the presentation of several papers. Since joining DeepX, he has been engaged in multiple machine automation projects and has led the development of machina, a Deep Reinforcement Learning library that can be employed on a cross-sectional basis for the development of automation technology intended for various forms of machinery. He was appointed to the roles of Director and Chief Technology Officer in June of 2019.
Kohei graduated from the Department of Systems Creation in the Faculty of Engineering at the University of Tokyo, where he was based in a laboratory focusing on financial engineering. He joined DeepX as their first part time worker while still a student and has been engaged in several projects since then. After graduating from university he joined the company as a full-time employee in 2018, wishing to commit himself fully to the organization and witness DeepX solve social issues first-hand. He is primarily responsible for project development and server management.
Ryosuke graduated from the Department of Computer Science in the Faculty of Knowledge Engineering at Tokyo City University. Continuing his studies at the graduate school, his focus is on speech signal processing via Deep Learning. He decided to join DeepX after empathizing with its vision of “aiming to solve the societal problems of a shrinking workforce in Japan by means of automating any machinery”. Within this elite group, he strives to contribute all that he can in order to solve these problems, and is engaged in development via Deep Learning.