To create innovative devices with machine learning and make them available everywhere


To provide key technologies to bring next-generation information devices into reality


Society is changing every minute with the evolution of technology.

With breakthrough innovations in devices and widespread use of IT infrastructure, we've been able to collect and utilize a lot of data. With the practical application of machine learning, the accuracy of analysis has increased. The use of data is becoming more and more familiar to us.

Machine learning powered devices produce even better data. The data cycle flows at an ever-increasing speed. It will make people's lives more convenient.
We were among the first to predict such a future. I've been running a machine learning based business since 2012.

Many companies and organizations have recognized us for our technological capabilities and foresight, and we've been working on a lot of projects using machine learning.
Unfortunately, not so many cases have resulted in social implementation.
There were two challenges that existed.

One of our goals is to build a model of pragmatic machine learning.
*For that, we needed to develop high-quality machine learning models in order to use machine learning for problems that could not be solved until now.

Second is to develop a computational environment to make machine learning models work in a practical way.
There was no definitive device to make it work practically in a resource-constrained setting, such as edge computing.

To make people's lives more convenient with machine learning-based devices, we have to overcome two challenges. Since we are now working diligently with our colleagues with diverse skills to meet the needs of our customers, we have sought out the following two approaches; "Development of good machine learning models" and "Development of high-speed, highly efficient hardware IP".

By approaching from both software and hardware perspectives, we will make the impossible possible. That future is within our reach.

We believe that we can enrich people's lives by developing the key technologies of the future and make them available to the world.

CEO Soichi Matsuda


Dec. LeapMind Inc. (formerly known as AddQuality) established at Meguro-ku, Tokyo
Aug. Rights Offering to Mr. Kiyoshi Nishikawa, the founder of the formerly known netage,inc. (the current UNITED, Inc.) performed
Aug. Fund-raising from Archetype* Ventures Inc.
Oct. The company name changed to LeapMind Inc. on Oct 30, 2014
Jun. Formed a business alliance with Dentsu Isobar Inc.
Aug. Fund-raising of JPY 340 million in total at Series A
Oct. The head office relocated to Tsuchiya Bldg, Shibuya-ku, Tokyo
Dec. Collaborated with NTT DATA Corporation
Feb. Qualified as a partner of the NVIDIA "Inception Program"
Apr. Mr. Tomihisa Kamada, the representative of TomyK Ltd. and the co-founder of ACCESS Co., Ltd., inaugurated as an adviser
Oct. Fund-raising of JPY 1.15 billion in total at Series B
Dec. Mr. Yoshie Munakata, the former director and VP of Intel Kabushiki Kaisha, inaugurated as an executive adviser
Dec. Named to the "AI 100" by CB Insights, a US research services company
Feb. The head office relocated to Shibuya Dogenzaka Sky Bldg, Shibuya-ku, Tokyo
Apr. "DeLTA-Lite" was released, and "DeLTA-Project" was announced
Jun. Selected as "J-Startup" by the Ministry of Economy, Trade and Industry of Japan
Jul. Hiroyuki Tokunaga was appointed as CTO
Jul. Launched "DeLTA-Kit", an evaluation kit for embedded deep learning models
Jul. Launched "DeLTA-Mark", a solution for building training data for deep learning
Jul. Atsunori Kanemura was appointed as CRO and CS
Jul. "DeLTA-Lite" officially supported "Cyclone® V SoC"
Sep. 10.5 fps of inference speed has been achieved in an object detection task with embedded deep learning on a low-power SoC FPGA
Oct. Launched collaboration with ACCESS CO., LTD., an IT solution provider
Dec. Started to release Blueoil as an open source
Dec. Takeo Sawada was appointed as VP of Engineering
Apr. Launched the Deep Learning Implementation Study Service
Oct. Fund-raising of JPY 3.5 billion at Series C
Dec. Expanded the office space to accommodate business expansion
Apr. Delivered a keynote speech at "COOL Chip 23"
Apr. Launched "Efficiera™", an ultra low power AI inference accelerator IP
Oct. Launched the Efficiera FPGA partner program
Oct. Official commercial launch of Efficiera ultra low power AI inference accelerator IP
Jan. First exhibit at CES, full-scale global expansion of solutions
Feb. Announces participation in alliance program of Xilinx, a major US FPGA innovator

Board Members

Soichi Matsuda


Soichi Matsuda

In 2011, he launched a matching service for engineers and clients based on engineering skill visualization, which was expanded to Singapore, and got his business acquired. He founded LeapMind to create a platform of "compact and simple" deep learning technologies that is easily accessible to anyone, thereby contributing to our society and advancing the world.

Hiroyuki Tokunaga


Hiroyuki Tokunaga

He completed his master's program at the University of Tokyo Graduate School of Information Science and Engineering in 2007.
Prior to becoming a Director and the CTO of LeapMind in 2018, he worked for Yahoo Japan Corporation, Preferred Infrastructure, Inc., and Smart News, Inc.

Company Name
LeapMind Inc.
3F, Shibuya Dogenzaka Sky Bldg,
28-1 Maruyama-cho, Shibuya-ku,
Tokyo, 150-0044, Japan
Main Business
・Joint project utilyzing our unique machine learning technologies
・Development of Efficiera, an ultra low power AI inference accelerator IP
JPY 2.587 billion incl. capital reserves(as of March 31, 2020)
Board of Directors
  • CEO Soichi Matsuda
  • CTO Hiroyuki Tokunaga
  • Non-executive Directors
    Hiroshi Mukai
    Koji Abe
    Tokuhiro Kobayashi
  • Full-time Auditor
    Yumiko Yano
  • Part-time Auditor
    Hiroyuki Yamada
    Wataru Kagawa
Number of Members
Sumitomo Mitsui Banking Corporation
Mizuho Bank, Ltd.
MUFG Bank, Ltd.
Intel Corporation
KDDI Corporation
Fujitsu Ltd.
NTT Data Corporation
Dentsu Isobar Inc.
Koito Manufacturing Co., Ltd.
Sumitomo Mitsui Construction Co., Ltd.
Dai Nippon Printing Co., Ltd.
Hakuhodo Inc.
Aioi Nissay Dowa Insurance Co., Ltd.
Intel Corporation
Japan Aerospace Exploration Agency(JAXA)
NTT Data Corporation
Kawasaki Heavy Industries, Ltd.
KDDI Corporation
Koito Manufacturing Co., Ltd.
East Japan Railway Company
Dai Nippon Printing Co., Ltd.
Dentsu Isobar Inc.
Toyota Motor Corporation
Fujitsu Limited
Sumitomo Mitsui Construction Co., Ltd.


3F, Dogenzaka Sky Bldg, 28-1 Maruyama-cho Shibuya-ku, Tokyo, 150-0044, Japan


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