ABEJA Platform - Digital Version of EMS
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.
Leveraging the ABEJA Platform, ABEJA is developing a business model similar to an Electronics Manufacturing Service (EMS), seamlessly integrating AI systems into core operations and providing fully managed DX services to meet the needs of client companies.
A factory that manufactures AI systems using "state-of-the-art manufacturing machinery + manufacturing expertise".
Features of ABEJA Platform
ABEJA's unparalleled technological capabilities and achievements in reaching production are based on the "state-of-the-art manufacturing machinery" (= modules) and "manufacturing expertise" (= know-how) built within ABEJA Platform.
“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.
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 five layers that make up ABEJA Platform
DX needs vary widely. ABEJA Platform is a software suite that provides processes from design, development, construction and operation to improvement, tailored to the needs of the client company and ensuring sustainable and stable operations. It is fully equipped with versatile, state-of-the-art modules that can be used in all processes in all directions, and is organised into 'parts' in five main layers.
Each component is pre-built and can be combined and set up to meet the needs and challenges of the client company, making it possible to provide a unique system. It would take an enormous amount of time and cost to create this from scratch if they were to build it themselves. The planning and creation of design documentation, which is the initial stage of the process, is an extremely difficult part of the DX process for companies.
It would be too difficult and impractical to simply provide the ABEJA Platform as is to client companies and let them use it on their own. Therefore, we do not currently offer traditional SaaS (Software as a Service)* or PaaS* (Platform as a Service)* where customers have to use it independently. We offer ABEJA Platform as a digital version of EMS, with ABEJA consultants and data scientists taking the lead in creating the design documents.
In addition, ABEJA Platform is highly flexible and able to build seamlessly while incorporating "human" intervention, i.e. manufacturing expertise at key stages of the process. It quickly implements efficient and robust DX processes that respond to customer needs.
*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
"Manufacturing expertise” making full use of state-of-the-art manufacturing machinery (know-how)
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.
"Manufacturing expertise” making full use of state-of-the-art manufacturing machinery (know-how)
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.
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“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.
.png)
“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.
“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.
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.
“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.
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.
“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.
“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.
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人の知見を活かし、AIモデルを継続的に最適化するフローの構想・実装
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初期から高い精度を必要せず本番運用を重ねながら精度を向上
“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.
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標準モジュール＋最新技術を柔軟に組み合わせ、プロセスを効率化
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運用を想定した拡張性・堅牢性を重視し、スムーズな業務移行を支援
“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.
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多様なインターフェース（API等）を活用し、リアルタイムデータ連携
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既存システム・アプリと連携し、現行資産を活かしたデジタル化を推進
“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.
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デモなどを用いたクイックな検証を実施。操作性・視認性・レスポンスを重視
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稼働後もフィードバックを反映し、改善を続ける“使い続けられる”設計
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精度不足をUIによってカバーするなど様々なアプローチを投下
“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.
ビジネスプロセスの運用監視
業務フロー全体をリアルタイムにモニタリングし、データフローやパフォーマンスのボトルネックを把握。チューニングやログ分析を通じて問題を早期発見し、安全かつ安定したオペレーションを実現します
モデル・システムの継続的最適化
環境変化や新たな課題に柔軟に対応するため、モデルの再学習やバージョン管理を体系的に実施。MLOps/LLMOpsを活用して効率的なデプロイとアップデートを行い、システム全体を最適状態に保ちます
カスタマーサクセスを通じた長期支援
導入後も伴走型のサポートを提供し、運用者や企画者と協力して継続的に改善。ナレッジトランスファーや人材育成を通じ、システム活用の定着とDX推進を強力に支援します
人とAIの協調オペレーション
AIの自動判断と人間の専門知識を組み合わせる“Human in the Loop”により、導入初期は人的介在を重視しつつ、段階的にAIの役割を拡大。リスクを抑えながら精度を高め、高品質と生産性を両立する協調体制を構築します
“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.
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
