Founded Year

2014

Stage

Unattributed VC - III | Alive

Total Raised

$308.23M

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-139 points in the past 30 days

About Preferred Networks

Preferred Networks is a technology company that develops applications of deep learning and robotics across various industries. The company provides services in manufacturing automation, transportation technologies, healthcare analytics, visual inspection software, educational tools, and entertainment media processing, using deep learning frameworks and supercomputing infrastructure. Preferred Networks serves sectors such as manufacturing, transportation, life sciences, robotics, and education. It was founded in 2014 and is based in Tokyo, Japan.

Headquarters Location

1-6-1 Otemachi, Chiyoda-ku Otemachi Building

Tokyo, 100-0004,

Japan

+81 5032041285

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ESPs containing Preferred Networks

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Semiconductors & HPC

The AI training processors market focuses on specialized hardware optimized for deep learning model training workloads. These processors include graphics processing units (GPUs), application-specific integrated circuits (ASICs), and other architectures designed to accelerate complex AI computations. The processors enhance training speed, energy efficiency, and scalability for increasingly sophisti…

Preferred Networks named as Outperformer among 15 other companies, including IBM, Fujitsu, and NVIDIA.

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Expert Collections containing Preferred Networks

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Preferred Networks is included in 5 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,309 items

A

AI 100 (All Winners 2018-2025)

99 items

Winners of CB Insights' annual AI 100, a list of the 100 most promising AI startups in the world.

S

Semiconductors, Chips, and Advanced Electronics

7,494 items

Companies in the semiconductors & HPC space, including integrated device manufacturers (IDMs), fabless firms, semiconductor production equipment manufacturers, electronic design automation (EDA), advanced semiconductor material companies, and more

A

Advanced Manufacturing

7,577 items

Companies in the advanced manufacturing tech space, including companies focusing on technologies across R&D, mass production, or sustainability

A

Artificial Intelligence (AI)

9,236 items

Preferred Networks Patents

Preferred Networks has filed 174 patents.

The 3 most popular patent topics include:

  • artificial neural networks
  • machine learning
  • artificial intelligence
patents chart

Application Date

Grant Date

Title

Related Topics

Status

10/18/2023

3/18/2025

Semiconductor device fabrication, Thin film deposition, Microtechnology, Integrated circuits, Plasma processing

Grant

Application Date

10/18/2023

Grant Date

3/18/2025

Title

Related Topics

Semiconductor device fabrication, Thin film deposition, Microtechnology, Integrated circuits, Plasma processing

Status

Grant

Latest Preferred Networks News

AI時代,日本材料還能穩坐泰山嗎?

Nov 14, 2025

作為負責人的執行董事藤川修表示「很久以前就針對重大課題確立了解決技術」。 例如,癌細胞的表面通常會出現異常的蛋白質,利用AI對此進行分析,設計出促使體內免疫細胞「以該蛋白質作為標記向癌細胞發動攻擊」的藥物。治療對象將是每一個單獨的患者。 這種訂製型(個別化)的治療研究在很久以前就曾盛行過。但迄今為止在實用化方面被認為一直舉步維艱。蛋白質的性質由於患者的不同和病情進展程度而各異,要想根據其排列順序找到出恰當的藥物,理論上需要進行30億個病例的分析和實驗。 在該領域,最近突然出現一股跨行業合作潮流,例如日本中外製藥公司和從事AI研發的Preferred Networks(東京千代田區)開展「化學×數學」式的協作。用電腦模擬來取代由人類所做的試驗的動向從今年起或許將變成「司空見慣的事情」。

Preferred Networks Frequently Asked Questions (FAQ)

  • When was Preferred Networks founded?

    Preferred Networks was founded in 2014.

  • Where is Preferred Networks's headquarters?

    Preferred Networks's headquarters is located at 1-6-1 Otemachi, Chiyoda-ku, Tokyo.

  • What is Preferred Networks's latest funding round?

    Preferred Networks's latest funding round is Unattributed VC - III.

  • How much did Preferred Networks raise?

    Preferred Networks raised a total of $308.23M.

  • Who are the investors of Preferred Networks?

    Investors of Preferred Networks include SEKISUI HOUSE, Kodansha, TBS Innovation Partners, Sumitomo Mitsui Trust Bank, Mitsubishi UFJ Trust and Banking and 24 more.

  • Who are Preferred Networks's competitors?

    Competitors of Preferred Networks include FuriosaAI and 7 more.

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Google DeepMind

Google DeepMind operates as an artificial intelligence (AI) research company focused on AI across various sectors. The company develops generative AI models for creating images, music, and videos, and conducts research in health, climate, and quantum computing. Google DeepMind was formerly known as DeepMind. It was founded in 2010 and is based in London, United Kingdom. In January 2014, Google DeepMind was acquired by Google at a valuation between $500M and $650M.

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Araya

Araya focuses on the integration of artificial intelligence and neurotechnology into business and everyday life within the AI and neurotech industry. The company offers a range of solutions, including visual inspection AI, fluid analysis, digitization for the construction industry, HVAC optimization, and support for brain research and advanced AI research. Araya primarily serves sectors such as the construction industry, research institutions, and businesses seeking AI optimization. It was founded in 2013 and is based in Tokyo, Japan.

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Ambient Scientific

Ambient Scientific is a semiconductor company that specializes in AI processors for the semiconductor industry. The company offers AI microprocessors that support on-device AI applications, including voice commands and predictive maintenance, powered by battery without the need for cloud connectivity. Ambient Scientific serves sectors that require edge AI computing capabilities, such as consumer electronics, industrial automation, and smart devices. It was founded in 2017 and is based in Santa Clara, California.

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d-Matrix is focused on developing computing platforms for datacenter scale, with a particular emphasis on AI inference technology. The company offers Corsair™, a solution on improving performance for AI applications. d-Matrix serves sectors that require large-scale processing capabilities. It was founded in 2019 and is based in Santa Clara, California.

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ArchiTek

ArchiTek specializes in artificial intelligence technology. It focuses on developing advanced computing solutions for various sectors. The company's main product, the ArchiTek Intelligence Pixel Engine (aiPE), offers a cost-effective and high-performance alternative to traditional GPUs, designed to meet the diverse needs of AI applications. ArchiTek's technology is utilized across industries such as autonomous mobility, security, machinery and robotics, and data centers, providing the computational power for tasks such as computer vision, machine learning, and data processing. It was founded in 2011 and is based in Osaka, Japan.

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