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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.
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
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
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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
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
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
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
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.
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
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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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.
Some interesting numbers and facts about your company results for MLOps
Country with most fitting companies | Japan |
Amount of fitting manufacturers | 18 |
Amount of suitable service providers | 10 |
Average amount of employees | 11-50 |
Oldest suiting company | 2010 |
Youngest suiting company | 2022 |
Some interesting questions that has been asked about the results you have just received for MLOps
What are related technologies to MLOps?
Based on our calculations related technologies to MLOps are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of MLOps?
Start-Ups who are working in MLOps are Aokumo Inc., HITSERIES®︎FUND
Which industries are mostly working on MLOps?
The most represented industries which are working in MLOps are IT, Software and Services, Other, Biotechnology, Automation, Finance and Insurance
How does ensun find these MLOps Companies?
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.