Classmethod Launches “Classmethod SmartFactory AI Base”: Accelerating Data Utilization and Driving Smart Factory Transformation in Manufacturing
Classmethod (Headquarters: Minato-ku, Tokyo; CEO: Satoshi Yokota; ”Classmethod”) has announced the launch of “Classmethod SmartFactory AI Base,” a data platform designed to accelerate digital transformation (DX) within the manufacturing industry.
This service aggregates diverse factory data, including equipment and sensor data, into the cloud, providing a secure environment for visualization, analysis, and automated notifications. By converting scattered on-site data into valuable insights, the service contributes to solving critical industry challenges such as labor shortages, information silos, and delays in data utilization.
Background: The Growing Need for Smart Factories
Manufacturing companies in Japan are facing a declining working population and resulting labor shortages. This environment makes it difficult to transfer technical expertise, often resulting in over-reliance on specific individuals. There is a growing need for digital transformation (DX) to address these operational constraints.
At the same time, customers at manufacturing sites report that they are unable to collect all relevant data, or that the data they do collect remains scattered across disparate locations. Even when they want to pursue DX, the foundation needed to transform data into value and drive improvements in productivity and quality is not in place.
To address this, Classmethod developed “Classmethod SmartFactory AI Base” to support the realization of smart factories. Rather than being a simple visualization tool, this service is designed to serve as a “DX engine” for factory operations.
As AI learns from continuously accumulated data, the system evolves in real-time. Classmethod will support manufacturers in integrating the physical and virtual aspects of their factories, enabling real-time, informed decision-making.
Key Capabilities of Classmethod SmartFactory AI Base
- SmartFactory Stream (Data Collection): Aggregates and manages data from different equipment and sensors in a central environment.
- SmartFactory Timeline (Operation Logging): Displays factory events on a timeline to help identify the causes of incidents or support planning and adjustments.
- SmartFactory DNA (Skill Succession and Sharing): Uses AI to convert the tacit knowledge of experienced workers into explicit, formalized knowledge, accelerating the transfer of technical expertise. This also helps eliminate the over-reliance on specific individuals.
- SmartFactory Meister (FAQ and Knowledge Base): An AI trained on internal data provides instant answers to questions arising at manufacturing sites or call centers, nearly eliminating the time spent on manual searches. Users can retrieve information through natural language conversation without needing specialized skills.
- SmartFactory Sense (Predictive and Preventive Maintenance): Monitors and analyzes collected data using AI to predict potential equipment failures, allowing for prompt preemptive action.
By leveraging these capabilities to aggregate and use factory data over time, the platform transforms on-site expertise into a digital transformation engine, driving “SmartFactory Data-Driven DX.”
Service Overview and Inquiries
The setup process, from contract completion and on-site information collection to the configuration of data visualization screens, is expected to take approximately one month. This schedule may vary depending on the number of units at the site and the specific configuration of the visualization interface.
Details: https://classmethod.jp/services/smart-factory/
About Classmethod, Inc.
Classmethod, Inc. is a technology partner supporting corporate digital transformation (DX), with a focus on cloud-native technologies including Amazon Web Services (AWS), data analytics, mobile, IoT, and AI/machine learning.
In AWS consulting, Classmethod has been recognized as a top-tier partner continuously since 2015, and has received the “AWS Consulting Partner of the Year” award recognizing the best domestic partner four times. In 2022, Classmethod received the “SI Partner of the Year” award as the global top partner, and was again named a finalist in 2023, establishing Classmethod as one of the world’s leading AWS partners. To date, Classmethod has supported approximately 5,000 companies and assisted with the management and construction of over 35,000 AWS accounts. Classmethod also places great emphasis on a culture of technical knowledge sharing by its engineers. Its owned media platform “DevelopersIO”, features over 50,000 technical articles, and we also operate “Zenn,” a knowledge-sharing platform for developers, contributing to the growth of the broader technical community. Under the mission of “empowering creativity through innovative ideas and advanced technical expertise,” Classmethod will continue to propose optimal technologies that enhance the business value of its customers.
Headquarters: 26F Hibiya Fort Tower 1-1-1 Nishishimbashi Minato-ku, Tokyo
CEO: Satoshi Yokota
Business: Cloud migration, development of big data infrastructure and mobile applications, technical assistance on AI/machine learning and LINE based software development
Official Website: https://classmethod.jp/
DevelopersIO (tech blog): https://dev.classmethod.jp/
Facebook: https://www.facebook.com/classmethod/
Official YouTube channel: https://www.youtube.com/c/classmethod-yt/
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