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Domain Specific AI powered by Takane

Takane, a generative AI for enterprise use, and domain-specific AI automate tasks that previously required manual labor. We create new business opportunities and new value through AI solutions specialized for various industries, such as manufacturing and healthcare.

Challenges in utilizing AI in enterprise

In an enterprise environment, creating an AI model for individual tasks requires specialized knowledge and takes time. Issues such as an inability to handle specialized tasks, delayed response due to increased calculation volume, and increased costs have prevented generative AI from being fully utilized in business settings.

Domain Specific AI

Fujitsu's LLM-specialized technology makes it possible to utilize generative AI for complex, specialized tasks. Fujitsu's strength lies in its ability to combine "Takane," the LLM boasting the highest accuracy in Japanese language translation, with domain-specific AI that condenses operational know-how from various industries, such as manufacturing and healthcare. We optimize "Takane" to meet the individual needs of our customers, and with new generative AI tailored to corporate requirements, we can address use cases and performance that have not previously been addressed.

Areas and fields where LLM-specialized technologies are appropriate

Manufacturing	Automating inspection processes improves the efficiency of the entire manufacturing process and the quality of the products themselves
Healthcare	Freeing up patient time by reducing information seeking and medical summary creation. Improved safety and satisfaction by reducing the workload of electronic medical records. Standardized discharge summary quality by utilizing LLM drafts.
Architecture & Construction	Using AI to structure unstructured floor plans, enabling search, analysis, and design support for real estate and construction operations Transforming floor plans from “visual data” into “actionable data” to realize new digital transformation (DX) in real estate and construction
Financial Document Processing	Automating the checking of procurement forms—which previously relied on manual labor—with AI to simultaneously improve quality and streamline operations
etc.

Demo
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Technical overview

Target Industry/Users

Manufacturing: Control design engineers in the manufacturing industry, manufacturers designing and producing complex products
Healthcare: Medical institutions, medical professionals
Architecture & Construction: Real estate companies, construction manufacturers, and designers
Financial Document Processing: Accounting staff at general businesses

Challenges in Target Industry and Operations

Manufacturing:
- There are a wide variety of requirements that must be confirmed during manufacturing, which means that checking designed products is costly and time-consuming.
- Technology is becoming more complex, and the number of engineers with extensive knowledge is decreasing, making technology transfer more difficult.
Healthcare:
- Medical information such as electronic medical records is vast, and much of it is unstructured data (free text, reports, etc.), making it difficult to extract and utilize the information.
- It is difficult to understand and analyze patient information over time, which is hindering the realization of personalized medicine.
Architecture & Construction
- Digitizing the structural data of various floor plans. Existing floor plans often exist in paper form or as unstructured image data.
Financial Document Processing
- To prevent incorrect orders, order confirmations are performed manually (through multiple checks), resulting in a high workload. for forms such as quotes

Technical Challenges

Manufacturing:
- Understanding unstructured requirements documents including diagrams, identifying the shape and location of parts without part numbers, and automating inspection processes.
Healthcare:
- Technology for accurately extracting, structuring, and utilizing necessary information from various unstructured data in electronic medical records (progress notes, various reports, etc.).
- Interpreting information in medical records taking into account dates and time axes, and associating data chronologically.
Architecture & Construction
- Images of floor plans and corresponding detailed annotation data—such as room names, areas, locations, and interconnections—are required
- It is difficult to consistently and automatically extract the wide range of spatial information contained in floor plan images—such as room names, areas, locations, and inter-room connections
- Data sources—such as handwritten documents, scanned images, and website screenshots—vary widely in terms of quality, drawing style, font, and the representation of wall lines
Financial Document Processing
- Forms come in a wide variety and often have complex structures, making it difficult to structure the data
- When using AI, it is costly to generate prompts tailored to the different rules of each company and business process

Solutions

Manufacturing:
- Mechanisms for correctly reading structures including tables, understanding industry- and company-specific descriptions, mechanisms for identifying component types from their appearance, and technology for generating inspection programs.
Healthcare:
- Automatically extracting patient information such as severity, disease classification, and vital signs from unstructured medical information such as electronic medical records to build a high-quality structured database.
- Constructing a patient-centric dynamic knowledge graph (Dynamic KG) to represent a patient's clinical information over time and its uncertainty.
Architecture & Construction
- Generating a large volume of high-quality floor plan images along with detailed annotations such as room names, area, location, and connectivity
- Using automatically generated floor plan datasets, the system acquires the ability to accurately link visual patterns specific to floor plans with linguistic information such as room names and relationships
Financial Document Processing
- Forms Automated data extraction from forms such as quotes using AI for form understanding and structuring
- Compliance Check AI understands check rules ranging from dozens to hundreds of items and automates compliance checks on form data

Fujitsu's Technological Advantage

Manufacturing:
- Automated programming technology for industry-specific testing tasks through industry-specific understanding of requirements and the analysis and generalization of various testing know-how.
Healthcare:
- Our proprietary KG-enhanced RAG technology deeply understands the terminology and nuances specific to the medical field, enabling highly accurate information extraction and structuring. It also captures temporal changes and uncertainties in patient condition.
Architecture & Construction
- Technology that comprehensively processes diverse elements within images (such as wall lines, shapes, symbols, and text) to accurately extract a wide range of attribute information—including room names, areas, locations, and even inter-room connections—from complex floor plans
Financial Document Processing
- Technology that interprets form structures solely from images and accurately converts them into text in a key-value format
- Technology for Automatically Adjusting Criteria Used to Verify Compliance with Rules

The benefits of Domain Specific AI powered by Takane (Detailed version)

Manufacturing:
- Automating testing operations improves the efficiency of the entire manufacturing process and the quality of the products themselves.
Healthcare:
- Takane accurately extracts and structures necessary information from electronic medical records, significantly reducing the time doctors and researchers spend searching for information. This improves the quality of diagnosis and treatment, frees up time for patient care, and accelerates research.
- Improved safety and satisfaction due to reduced electronic medical record workload. Standardized quality of discharge summaries.
Architecture & Construction
- Automatically converts the structures of various floor plans—including room connections—into data, enabling search and analysis
Financial Document Processing
- Simply enter the target forms and validation rules to obtain validation results.

Use Cases

Manufacturing:
- When designing products using CAD, checking in advance to ensure they meet manufacturing requirements reduces rework.
Healthcare:
- Creating discharge summaries: Automatically summarizing the entire admission and discharge process reduces creation time and improves the safety of care transitions.
- Understanding patient condition, treatment plans, and examinations: Quickly understanding past medical history and test progress improves the efficiency of initial decision-making.
Architecture & Construction
- Utilizing digital floor plan data in various fields, including real estate information services, architectural design, renovation planning, and smart home systems
Financial Document Processing
- High-precision conversion of forms into structured data and automated verification
- AI checks forms using automatically generated prompts

Case studies

Manufacturing:
- Demonstration of automated inspection procedures for production technology requirements at an automobile manufacturer
Healthcare:
- AI-based medical support using electronic medical records, providing information that takes into account the chronological changes of re-admitted patients
Architecture & Construction
- Promoting automation and efficiency in various applications—such as comparative analysis of real estate properties, renovation planning, furniture layout simulations, and spatial recognition for smart homes—of related industriesthereby significantly contributing to the digital transformation (DX)
Financial Document Processing
- Preventing errors in a wide range of accounting tasks that utilize forms, such as quotations, purchase orders, and inspection reports