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Top MLOps Companies in Japan

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24 companies for MLOps in Japan

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Konduit's Logo

Konduit

Tokyo, Japan

A

11-50 Employees

2019

Key takeaway

The company offers support and services for enterprises utilizing open-source infrastructure like DL4J, which is relevant for MLOps as it involves deploying and managing machine learning models effectively. Their tools, kompile and konduit, facilitate the execution of models, aligning with the goals of MLOps in optimizing AI workflows.

Reference

Core business

Konduit - We Build AI infrastructure from the Ground Up

Aokumo Inc.'s Logo

Aokumo Inc.

Tokyo, Japan

A

1-10 Employees

2021

Key takeaway

Aokumo enhances DevOps capabilities, particularly in MLOps, by streamlining Kubernetes management and automating deployment processes, which can lead to significant improvements in efficiency and cost savings. Their expertise in cloud migration and infrastructure optimization also supports faster and more reliable software delivery.

Reference

Service

DevOps Services | Aokumo

Achieve higher levels of DevOps maturity for more reliable software delivery, increased automation capabilities, and accelerated outcomes.

Midokura's Logo

Midokura

Tokyo, Japan

A

11-50 Employees

2010

Key takeaway

Midokura is a leading company focused on network virtualization and the integration of Artificial Intelligence (AI) into Edge devices, which aligns with MLOps practices by emphasizing AI model training, optimization, and deployment. They are dedicated to transforming society through innovative technologies, including cognitive applications for computer vision.

Reference

Product

TECHNOLOGY - Midokura

Discover our technology!We work with cutting edge technology to create the solutions of the future

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Gigalogy's Logo

Gigalogy

Tokyo, Japan

A

11-50 Employees

2019

Key takeaway

The company specializes in advanced AI solutions, particularly for E-Commerce, where they enhance product discovery and user engagement. They also offer a fully managed AIOps solution and a platform for training and managing GPT models, which could be relevant for MLOps initiatives.

Reference

Core business

Gigalogy | Personalization Platform for E-Commerce

Molcure's Logo

Molcure

Tokyo, Japan

A

11-50 Employees

2013

Key takeaway

The company leverages advanced AI technology and machine learning models, including deep neural networks and transformers, to analyze over 1 billion proprietary biopharmaceutical data points, facilitating the identification of valuable antibodies and peptides. Their use of directed evolution experiments and laboratory automation enhances data generation, which is crucial for developing effective MLOps strategies in drug discovery.

Reference

Core business

Molcure Inc. | Accelerating drug discovery

Rapyuta Robotics's Logo

Rapyuta Robotics

Tokyo, Japan

A

101-250 Employees

2014

Key takeaway

Rapyuta Robotics offers a comprehensive DevOps platform designed for cloud-connected robots, which enhances the management and operational efficiency of robotic applications. Their Rapyuta PA-AMR solution automates picking operations, thereby improving productivity and addressing labor shortages while also emphasizing the importance of data collection and utilization for business success.

Reference

Product

Products | Rapyuta Robotics

rapyuta.io is the world’s first all-in-one DevOps platform for cloud connected robots that empower robotics teams to take full control of the complete application life cycle – development, deployment & operations.

Worksbot's Logo

Worksbot

Toyokawa, Japan

A

251-500 Employees

2011

Key takeaway

Worksbot Applications is a specialized development company focusing on Artificial Intelligence and Machine Learning technologies, which are integral to MLOps. Their expertise in Natural Language Processing and data conversion highlights their capability to enhance machine learning applications.

Reference

Core business

Worksbot | Software Development Company | Machine Learning | Artificial Intelligence | CRM | ERP

HACARUS's Logo

HACARUS

Kyoto, Japan

A

11-50 Employees

2014

Key takeaway

HACARUS leverages its award-winning Sparse Modeling technology to provide innovative AI-driven solutions in fields like healthcare and manufacturing. Their focus on efficient data utilization and explainable AI can be particularly relevant for MLOps, as it addresses the challenges of deploying and maintaining machine learning models effectively.

Reference

Core business

HACARUS – Sparse Modeling based AI, Edge AI with learning and inference capability, White box AI

We make AI work, where common Big Data aproaches fail. Get explainable results, even from small data amounts. Available on the cloud or as embedded devices.

Mujin, Inc.'s Logo

Mujin, Inc.

Tokyo, Japan

A

101-250 Employees

2011

Key takeaway

Mujin Corp. offers advanced automation solutions that enhance operational efficiency through their MujinController platform, which enables robots to perform various tasks autonomously. Their technology supports automated storage and order fulfillment, ensuring high performance and reliability in production environments.

Reference

Product

Machine Intelligence | Mujin Corp

Mujin Machine Intelligence enables fast implementation and reliable, high performance from any industrial robot.

HITSERIES®︎FUND's Logo

HITSERIES®︎FUND

Tokyo, Japan

A

1-10 Employees

2022

Key takeaway

HITSERIES®︎CLOUD offers a comprehensive SaaS investment throughput model that helps founders manage growth and prioritize actions effectively. Their focus on strategies like EquityOps, RevOps, and DevOps aligns with the principles of MLOps by emphasizing systematic management and optimization in the SaaS development and growth process.

Reference

Core business

HITSERIES CLOUD – EquityOps, RevOps, DevOps


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Information about MLOps in Japan

When exploring the MLOps industry in Japan, several key considerations come into play. The regulatory landscape is crucial, as Japan has specific guidelines regarding data privacy and AI ethics, which can influence MLOps practices. Companies must comply with the Act on the Protection of Personal Information (APPI) and other relevant frameworks, ensuring that they handle data responsibly. Challenges include the need for skilled talent, as there is a shortage of professionals proficient in both machine learning and operations. Additionally, cultural factors may affect how organizations adopt and integrate MLOps practices. On the opportunity front, Japan's robust technology infrastructure and emphasis on innovation provide a fertile ground for MLOps growth, particularly in sectors like manufacturing, healthcare, and finance. The competitive landscape features both established companies and emerging startups, making it essential for newcomers to differentiate themselves through unique solutions. Environmental concerns are increasingly relevant, as companies focus on sustainable practices in their AI implementations. Lastly, Japan's MLOps sector is part of the broader global market, so understanding international trends and collaborations can enhance strategic positioning. Overall, staying informed about these factors can significantly impact success in Japan's MLOps industry.


Insights about the MLOps results above

Some interesting numbers and facts about your company results for MLOps

Country with most fitting companiesJapan
Amount of fitting manufacturers18
Amount of suitable service providers10
Average amount of employees11-50
Oldest suiting company2010
Youngest suiting company2022

Frequently asked questions (FAQ) about MLOps Companies

Some interesting questions that has been asked about the results you have just received for MLOps

Based on our calculations related technologies to MLOps are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in MLOps are Aokumo Inc., HITSERIES®︎FUND

The most represented industries which are working in MLOps are IT, Software and Services, Other, Biotechnology, Automation, Finance and Insurance

ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.

MLOps results by various countries

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