ABEJA transforms core enterprise operations through the power of technology.
For over 10 years since our founding, we have been at the forefront of deep learning advancement in Japan, having managed AI implementation and operation projects for more than 300 companies.
Drawing on this extensive experience, we deliver tangible transformation to our clients. By leveraging the extensive features of ABEJA Platform and our deep expertise, we provide tailored, end-to-end support for each client's unique circumstances and needs.
Support for Mission-Critical Domains
We have extensive expertise cultivated through numerous projects utilizing ABEJA Platform. This expertise enables ABEJA to address a wide spectrum of fields — ranging from common business domains to highly mission-critical domains.
What Are Mission-Critical Domains?
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The term refers to the "systems and processes indispensable for the execution of business operations." If these operations halt, it may result in severe damage that threatens the survival of the business or organization.
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Applying AI in this domain is considered exceptionally challenging because it is theoretically impossible for AI to achieve 100% accuracy.
Introducing AI into mission-critical domains — such as financial settlements, hospitals, and factory lines, where any disruption would cause significant social and business impacts — is no simple task. ABEJA demonstrates its strength in these critical areas, utilizing ABEJA Platform. Under our mission to "Implement a Fruitful World," we work alongside our client companies to realize our vision and values: transforming society through innovation and evolving industries through technology.
Examples of Mission-Critical Domains
We have extensive expertise cultivated through numerous projects utilizing ABEJA Platform. This expertise enables ABEJA to address a wide spectrum of fields — ranging from common business domains to highly mission-critical domains.
Maintenance of Piping in Chemical Plants
Underwriting in General Insurance
Overlooking pipe corrosion carries severe, life-threatening risks, including fires, explosions, and environmental pollution.
Inadequate risk assessment can lead to a decline in social value, such as significant loss of revenue and deteriorating customer relationships.
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Maintenance for pipe corrosion has traditionally relied on the highly specialized, individualized judgment of seasoned experts. By introducing AI, we have successfully streamlined this process and eliminated dependency on individual skills.
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Meanwhile, since any flaws in AI decision-making could lead to serious accidents, it is essential to take thorough precautions.
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By introducing AI, complex processes — such as coordinating with relevant departments and examining past records — that previously took up to four hours per case have been virtually eliminated.
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However, even as efficiency improves, any flaws in this assessment could not only result in significant lost revenue but also damage trust with customers. Therefore, a level of precision exceeding that of human work is required.
ABEJA’s
Enterprise Platform Business
ABEJA operates its “Enterprise Platform Business,” which involves the development, implementation, and operation of ABEJA Platform—the foundational system designed to support the adoption of AI in customers’ business operations.
Collaboration between the two areas enables end-to-end support
Centered around ABEJA Platform, there is the "Transformation Domain," which provides upstream strategy support, implementation support, and peripheral services, and the "Operation Domain," which handles subsequent operations through "human-AI collaboration."
Enterprise Platform Business
In the early stage of building a mechanism, we provide solutions and services as the “Transformation domain”. Once the new process is in place, our support moves onto the next focus of stable operation as the “Operations domain”.
In the event of a potential problem, support is again provided as the “Transformation domain”.
By cycling through the two domains and turning this cycle at high speed, the updated operations with AI systems will become even more efficient and stable, as well as constantly and rapidly optimised.
This realizes DX, which can lead to faster revenue growth.
Let us help with ABEJA Platform - the digital version of EMS
Since its establishment, ABEJA has been continuously researching and developing ABEJA Platform, and has been developing and operating AI systems for client companies for more than 10 years.
Our R&D efforts and investments in ABEJA Platform, which have been ongoing since the dawn of deep learning, have resulted in overwhelming technological capabilities and operational achievements.
It is equipped with state-of-the-art manufacturing machinery for all processes required to design, develop, build, operate and improve the DX of our clients' core business, and the manufacturing know-how to skilfully utilise and optimise it.
With ABEJA Platform, we develop business models that function like EMSs, seamlessly integrating AI systems into core operations and taking on fully managed DX to meet the needs of our clients' businesses.
How We Support With ABEJA Platform
Our enterprise platform business, powered by ABEJA Platform, provides end-to-end support — from defining the target state and development, to integration into business workflows, which typically requires the involvement of various vendors at each process.
Our comprehensive approach enables faster implementation than in-house development and maintenance, and allows for continuous use of cutting-edge technologies while achieving cost reduction, risk avoidance, and capability enhancement.
The Design and Build Cycle
ABEJA LLM Series: Empowering Client Companies to Leverage Generative AI
ABEJA Platform features ABEJA LLM Series. It enables the utilization of various generative AI models, including ABEJA's proprietary models, to provide end-to-end support and development for the business implementation of Large Language Models (LLMs). It covers the entire cycle: from identifying corporate challenges and designing use cases, through infrastructure setup, model development, system integration and development, and LLMOps.
Building on a foundation of LLM R&D excellence since 2018, along with extensive implementation expertise and experience, we guide our clients toward the successful deployment of LLMs.
ABEJA LLM Series Use Cases
Development of Business Improvement Applications Utilizing Generative AI
We develop SaaS tools that enable anyone to write SEO articles at a consistent level without prior expertise, as well as tools that automatically draft job postings, recruiting messages, and interviewer guides based on job requirements and selling points inputted by HR.
By developing applications that leverage generative AI to address various operational challenges faced by our clients, we drive the efficiency and standardization of business workflows.
Challenges
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Failure to inventory business workflows that can be optimized and standardized using generative AI.
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Inability to develop solutions that deliver tangible business results.
Expected Benefits
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Driving operational efficiency and standardization by developing applications that are genuinely utilized in daily operations.
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While the adoption of general-purpose generative AI may stall, utilization rates improve dramatically when AI is integrated into specific business applications.
Track Record
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Development of web applications for end-users.
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Development of internal business applications designed for company-wide use.
Internal Information Search Using RAG
Enables cross-searching across internal documents and chat histories, with generative AI summarizing and presenting key points. We build user-friendly systems that are actively adopted by employees, handling everything from data preprocessing and the evaluation of multiple search methodologies to the refinement of UI/UX.
Challenges
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Inconvenient legacy search systems.
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The necessity to manually open and read target files or texts to grasp the context, even after a successful search hit.
Expected Benefits
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Significant reduction in time spent on searching and handling internal inquiries.
Track Record
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Case study search systems for sales teams.
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Knowledge base search systems for call centers.
Experience in assisting the DX of
over 300 companies
Our clients are in a wide range of industries including manufacturing, infrastructure, logistics and retail.
We use our extensive knowledge and experience of DX to support their businesses.
Manufacturing
Logistics
Retail
Infrastructure
IT
Finance
Use Cases
Analysing the movement of skilled workers
AI analyses the work processes of skilled workers, which can be used to create manuals to help inexperienced workers.
Product sorting
AI identifies photographic images of products and label data, which helps to automate products
Demand forecasting
in factories
AI predicts when and how much of a product should be produced or sold. AI can also optimise inventories.
Efficient maintenance support
Prediction of repair methods and required parts based on the content of fault enquiries. AI helps to improve the repair process.
Retail store analysis
Collection and analysis of customer behaviour data. AI can visualise customer data such as age and gender of visitors, drop-in and repeat customer rates.
Flow line analysis
Customer flow tracking. Quantitatively measure the movement of people in a diverse range of locations such as retail outlets, commercial premises, airports and warehouses.
Automated inspection
AI automates the judgement of good/defective products and the detection of abnormal products.
Near-miss detection
AI detects and alerts when workers enter restricted areas. Prevents collisions before they happen.
Estimation of the location of the anomaly
AI identifies the location of machine anomalies, resulting in a significant reduction in downtime.
