Market Context — Why This Technology, Why Now

Global enterprises face immense pressure to derive insights from ever-growing data volumes while managing escalating storage and processing costs. Regulatory demands for data governance and rapid information access are also intensifying. This technology directly addresses these challenges by offering a scalable, cost-effective solution for structured data retrieval, enabling companies to maintain competitive agility and operational efficiency in a data-driven economy.

Key Competitive Advantages
01

Significantly Reduces Index Bloat: Leverages document data structures to eliminate unnecessary index entries, potentially reducing storage costs by up to 40% compared to conventional search systems.

02

Dramatically Improves Search Performance: Utilizes a unique node-specific database to efficiently search for necessary information within large datasets, estimated to reduce employee information retrieval time by an average of 30%.

03

High Uniqueness and Robust IP Protection: This robust patent was granted after overcoming five prior art references, multiple office actions, and a pre-appeal examination, ensuring a stable foundation for long-term business development.

Market Opportunity
Enterprise Search
$1.5B–$2.5B globally (AI est.)
The need for efficient information retrieval in enterprise document management systems, knowledge bases, and CRM is growing with DX initiatives, driving adoption of this technology.
Large enterprise software providers Corporate IT departments Knowledge management solution vendors
Cloud Data Management
$30B–$35B globally (AI est.)
As data migrates to the cloud, fast and efficient search and management of large, distributed datasets become critical. This technology offers a competitive advantage in this expanding market.
Cloud service providers Data warehousing companies Enterprise cloud solution integrators
Manufacturing (Technical Document Management)
$300M–$350M globally (AI est.)
With increasing manufacturing process complexity and R&D data volume, rapid search and retrieval of structured documents like design specifications and technical manuals directly impact productivity, driving demand.
Industrial automation software developers Engineering data management (EDM) system vendors Large manufacturing corporations
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the information provision system, method, and data structure through nine claims, demonstrating robust and multifaceted coverage. The patent's successful registration after multiple office actions and a pre-appeal examination confirms its high technical novelty and inventiveness, establishing a strong, difficult-to-invalidate scope of protection.

Competitive White Space

While this patent excels in structured document search and index optimization, adjacent white space exists in advanced AI-driven semantic search, natural language processing (NLP) for unstructured data, and real-time data streaming analytics.

Economic Impact
~$85K/year estimated operational cost savings and productivity gains per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Implementing this technology could reduce information system operational costs (storage, server resources) by optimizing index size. For a company with ~$335K/year (AI est.) in operational costs, a 20% reduction from index optimization could save ~$65K (AI est.). Additionally, if 500 employees spend 30 minutes daily on search tasks, a 10% reduction in search time due to improved speed could lead to ~$20K/year (AI est.) in productivity gains. Total potential economic impact is estimated at over ~$85K/year (AI est.).

Speed to Market
5× faster than in-house development
This technology focuses on optimizing search efficiency, a core function of information provision systems, making it easy to integrate into existing system infrastructures. The data structures and processing flows described in the patent are clear and the algorithms are established, allowing licensees to significantly reduce the time and cost associated with proprietary system development. Proof-of-concept or basic research phases are not required, enabling rapid implementation as an add-on to existing systems and quick market entry.
Competitive Positioning

X: Search Performance Efficiency
Y: Data Operational Cost Reduction

Business Models & Applications
💻 Software License Provision
Provide licenses to integrate this technology into a licensee's existing systems. Revenue generated through initial implementation fees and annual maintenance.
☁️ SaaS-based Search Service
Offer this technology as a cloud-based search service. Utilize a monthly subscription model with pricing structured by data volume or number of users.
🤝 Consulting & Solution Provision
Provide this technology alongside customized development and system integration services tailored to specific enterprise needs, delivering high-value solutions.
Adjacent Application Opportunities
🔬 Research & Development
High-Speed Structured Search for Research & Patents
Applicable to systems for high-speed structured searching of vast academic papers and patent literature (e.g., by chapter, section, citations). Researchers could instantly access critical information, potentially boosting R&D efficiency by over 25%.
🏥 Medical & Healthcare
Structured Information Retrieval for Electronic Health Records
Can be applied to efficiently search complex electronic health records and clinical guidelines based on patient information, medical history, and treatment progress. This could support physician diagnostics and potentially reduce medical errors by 15-20%.
⚖️ Legal & Compliance
Structured Analysis & Search for Contracts & Regulations
Utilizable as a system for structurally extracting and rapidly searching specific clauses or related information from large volumes of contracts and regulatory documents. This could streamline legal reviews and enhance risk management, cutting review times by up to 30%.
Integration Roadmap — Estimated 11-Month Deployment
Concept Validation & Requirements Definition
Duration: 3 months
Evaluate integration potential with the licensee's existing systems and define specific requirements for applying this technology. Validate effectiveness through a Proof of Concept (PoC).
System Design & Development
Duration: 5 months
Based on defined requirements, conduct detailed design and development for integrating this technology. Optimize mapping to existing data structures and node identification logic.
Testing & Production Deployment
Duration: 3 months
Perform integrated testing and performance evaluation of the developed system. Progressively deploy to the production environment after user acceptance testing to ensure stable operation.
Technical Feasibility
This technology can be integrated into existing information provision systems as a module group comprising search key acquisition, target document identification, document structure type identification, node identification, search result output, and document output. The patent claims clearly define each of these means, facilitating implementation as an add-on to existing search engines or database management systems. No new hardware investment is required, and implementation can primarily be achieved through software layer modifications, indicating a low technical hurdle.
Success Scenario
Upon implementing this technology, document search time in corporate knowledge sharing systems could be reduced by an average of 30%. This could significantly cut the time employees spend searching for information, allowing them to focus on core tasks, potentially contributing to hundreds of millions of dollars in annual productivity gains (AI est.). Furthermore, the suppression of index bloat could lead to up to a 40% reduction in storage costs.
Patent Record
APPLICATION NO.
特願2021-112426
REGISTRATION NO.
7272540
FILING DATE
2021/07/06
GRANT DATE
2023/05/01
EXPIRATION DATE
2041/07/06
PATENT HOLDER
株式会社　情報システムエンジニアリング
Examination History
2021年07月20日
出願審査請求書
2021年07月20日
早期審査に関する事情説明書
2021年08月17日
早期審査に関する通知書
2021年10月19日
拒絶理由通知書
2021年12月20日
意見書
2021年12月20日
手続補正書（自発・内容）
2022年03月15日
拒絶理由通知書
2022年07月13日
手続補正書（自発・内容）
2022年07月13日
意見書
2022年10月11日
補正の却下の決定
2022年10月11日
拒絶査定
2023年01月10日
手続補正書（自発・内容）
2023年01月18日
審査前置移管
2023年01月24日
審査前置移管通知
2023年02月28日
拒絶理由通知書
2023年03月07日
手続補正書（自発・内容）
2023年03月07日
意見書
2023年04月11日
特許査定
2023年04月14日
審査前置登録