With the ABEJA Platform, move from transformation to operations faster than ever.
For more than 10 years since its establishment, ABEJA has been continuously working on R&D for ABEJA Platform, as well as developing and operating AI systems for client companies. The R&D and investment in ABEJA Platform, which has been carried out since the early days of deep learning technology, has resulted in ABEJA's overwhelming technological strength and success in reaching production in the domestic market today.
ABEJA Platform is equipped with cutting-edge manufacturing machinery for the entire process of designing, developing, building, operating and improving the DX of clients' core business, and the manufacturing expertise to skilfully utilise and optimise it.
A factory that manufactures AI systems using "state-of-the-art manufacturing machinery + manufacturing expertise".
Features of ABEJA Platform
By utilizing ABEJA Platform end-to-end as the foundation for our clients' DX implementation, we can develop a robust DX infrastructure capable of withstanding even mission-critical operations.
“Human in the Loop (Collaboration of Human and AI)” approach that can even realize Zero PoC (Proof of Concept)
Many companies conduct meticulous PoCs when driving DX with AI. However, in many cases, projects get stuck at PoC and fail to reach production for reasons such as the AI's accuracy not improving as expected or the inability to afford consistent investment.
ABEJA advocates a Human-in-the-Loop approach that assumes human involvement. This is a mechanism for efficiently building AI models by accumulating business process expertise and knowledge as data on ABEJA platform, and having humans assist with judgement and decision-making at the necessary points.
In the initial phase, when operational expertise and data are insufficient, humans are primarily responsible for decision-making, but as the steps progress, the involvement of humans and AI can change. Customers can use AI in their business processes right from the start, and humans can nurture AI in the operational process. This accelerates the transformation to an AI-powered business process and the AI training cycle, resulting in faster and more sophisticated progression to actual live operations.
The six layers that make up ABEJA Platform
DX needs are diverse. ABEJA Platform is a suite of software that handles processes from design, development, and deployment to operation and improvement, tailored to the needs of client companies and ensures continuous and stable operation. It is fully equipped with versatile, cutting-edge modules capable of comprehensive support across any process, organized into "parts" across six major layers. Developing these parts from scratch would require immense time and cost; however, these parts are already pre-built and ready to use. By combining and setting them up according to the client's specific needs and challenges, we can deliver a truly unique system.
On the other hand, ABEJA believes that simply providing ABEJA Platform for clients to use at their own discretion is highly difficult and unrealistic. Therefore, we do not currently offer services where customers independently and freely use the software or platforms, as in traditional SaaS (Software as a Service) or PaaS (Platform as a Service). Instead, we provide ABEJA Platform alongside end-to-end support led by ABEJA's consultants and data scientists.
*SaaS (Software as a Service): Provides software that is normally offered as a packaged product
*PaaS (Platform as a Service): Provides the complete platform required for development, including servers, hardware, operating systems, middleware and databases
Realizing End-to-End Support: From Initial Design to Integration into Business Workflow
When companies drive DX, the “planning” and “strategy design” phases, which occur in the early stages of the process, are extremely challenging. Furthermore, even after the design phase, it is common that many companies typically work with multiple, disparate partners to actually build the system, integrate it into business workflows, and operate it continuously.
However, leveraging ABEJA Platform, we provide a one-stop solution encompassing three phases: Consulting, Customization, and Operation. ABEJA provides seamless support throughout the entire process, from the initial design phase to the stable operation phase.
Consulting with ABEJA Platform
To lead corporate DX and AI utilization to success, clarifying the vision, strategic design, and simulations anticipating actual operations are indispensable. ABEJA Platform supports comprehensively from upstream processes to pre-production simulations.
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Formulation of Overall Strategy
We analyze the client's business goals and market environment to formulate a strategy leveraging digital technology. We implement effective digitalization by maintaining a consistent direction across the entire enterprise.
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Simulation
Leveraging ABEJA Platform, we utilize data and validate hypotheses in a way that closely resembles real-world operations, and we conduct simulations with an eye toward actual operations.
Support for DX Talent Development
We support the development of personnel equipped with the digital skills necessary to drive DX, as well as the establishment of an effective organizational structure. Through training programs and support for organizational reform, we enable our clients to achieve sustainable digital transformation.
Consultation Services for AI Governance and Ethics
We provide a range of support for AI ethics and governance initiatives, including the development of company-specific policies and governance frameworks for the adoption of advanced digital technologies and AI, as well as organizational management to ensure continuous governance.
Customization with ABEJA Platform
We flexibly customize ABEJA Platform to meet client-specific operations and business models. To maximize the results of AI adoption, we provide comprehensive support across a broad spectrum — from AI system development and integration with existing systems to designing intuitive UX tailored for field operations.
Introducing a "Human-in-the-Loop" Approach
While advancing AI-powered automation, we introduce mechanisms where humans intervene in situations requiring specialized knowledge and judgment, thereby continuously optimizing the AI.
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Conceptualizing and implementing workflows that leverage human expertise to continuously optimize AI models.
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Continuously improving accuracy through ongoing production operations. High precision is not mandatory in the initial stage.
Establishment of AI Models and Systems
We leverage ABEJA Platform to design and develop AI models and systems that address and solve the specific business challenges faced by each client.
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Streamlining processes by flexibly combining standard modules and the latest technologies.
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Supporting a smooth transition of business workflows, emphasizing scalability and robustness with real-world operations in mind.
Smooth Integration with Existing Systems
We seamlessly connect newly introduced AI systems with existing systems, databases, and external applications.
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Real-time data integration, leveraging diverse interfaces (such as APIs).
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Drive digitalization leveraging existing assets by integrating with existing systems and applications.
Field-Oriented UI/UX Design
We pursue a UI/UX that is intuitive for system users, maximizing the effectiveness of the AI adoption.
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Conducting quick verifications with demos, etc. Emphasizing operability, visibility, and responsiveness.
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Creating a "continuously usable" design that keeps reflecting feedback and improving after deployment.
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Implementing various approaches, such as using the UI design to compensate for a lack of accuracy.
Operation with ABEJA Platform
We provide "Collaborative Operations" that evolve the system in tandem with business changes. Humans and AI work together to execute tasks from maintenance and real-time monitoring to model retraining and optimization, delivering operations that remain stable and continuously optimized.
Business Process Operation Monitoring
The entire business workflow is monitored in real-time to identify bottlenecks in data flow and performance. Issues can be detected early through tuning and log analysis, realizing safe and stable operations.
Continuous Optimization of Models and Systems
To respond flexibly to environmental changes and new challenges, we systematically execute model retraining and version control. Utilizing MLOps/LLMOps, we perform efficient deployments and updates, maintaining the entire system in an optimal state.
Long-Term Support Through Customer Success
We continue dedicated support after deployment, collaborating with the operators and planners to drive continuous improvement. Through knowledge transfer and talent development, we provide robust support for the sustainable utilization of systems and the advancement of digital transformation.
Collaborative Operation Between Humans and AI
Through "Human-in-the-Loop," which combines AI's automated judgment with human expertise, we emphasize human intervention during the initial implementation phase while gradually expanding the role of AI. We build a collaborative framework that enhances accuracy while mitigating risks, achieving both high quality and productivity.
Improvement Loop via ABEJA Platform
We ensure that the three phases of DX implementation and AI development utilizing ABEJA Platform — Consulting, Customization, and Operation — are not treated as one-off events. By establishing an improvement loop and applying insights and infrastructure to new challenges, we aim to achieve non-linear improvements through the compounding of optimized processes.
How it’s provided
First, we listen to the customer's problems, select the target operation and draw up a design document. Once this has been agreed, the client company supplies the data required to develop the system into ABEJA Platform.
Based on the accumulated data, new data is created and processed in an environment that guarantees computing resources and security, and by combining this data with pre-built AI models, a new system is created to meet the customer needs.
The system is equipped with versatile and flexible modules, not only in the BaaS layer where the AI models are stored, but also in the connectivity, computing, security and core layers, making it possible to build any number of different systems.
If the amount of data required to build a model is insufficient, the human-in-the-loop approach allows even the highly sophisticated AI systems to be built with zero PoC, enabling rapid DX.
Example 1. DX of plant operations at a major chemical manufacturer
Rigorous inspection is essential at a chemical manufacturing plant, where neglecting corroded pipes can lead to serious incidents.
At the client's plant, operations staff took a large number of photographic images of the pipes, and maintenance staff used these images to visually assess the degree of corrosion to determine countermeasures.
Example 2. DX of inventory management operations for specific components at a home appliance manufacturer
