Systran Japan to Fully Launch Enterprise AI Search Product "Sinequa" in Japanese Market
Key facts
- Systran Japan to Fully Launch Enterprise AI Search Product "Sinequa" in Japanese Market
- Systran Japan LLC announced that it has become part of the French ChapsVision group in 2024 and will fully launch its group's enterprise AI search product "Sinequa" in the Japanese market this fiscal year, with enhanced support systems. Sinequa is an enterprise AI search solution that can search across distributed documents and data within a company to generate AI-powered answers based on evidence, addressing the growing need for reliable internal search infrastructure as AI adoption advances.
- Source: PR Times
- Date: June 9, 2026
Direct answer
Systran Japan LLC announced that it has become part of the French ChapsVision group in 2024 and will fully launch its group's enterprise AI search product "Sinequa" in the Japanese market this fiscal year, with enhanced support systems. Sinequa is an enterprise AI search solution that can search across distributed documents and data within a company to generate AI-powered answers based on evidence, addressing the growing need for reliable internal search infrastructure as AI adoption advances.
- Citation
- Systran Japan to Fully Launch Enterprise AI Search Product "Sinequa" in Japanese Market (June 9, 2026), PR Times
- Source
- PR Times
- Date
- June 9, 2026
Systran Japan LLC announced that it has become part of the French ChapsVision group in 2024 and will fully launch its group's enterprise AI search product "Sinequa" in the Japanese market this fiscal year, with enhanced support systems. Sinequa is an enterprise AI search solution that can search across distributed documents and data within a company to generate AI-powered answers based on evidence, addressing the growing need for reliable internal search infrastructure as AI adoption advances.
📋 Article Processing Timeline
- 📰 Published: June 9, 2026 at 19:10
- 🔍 Collected: June 9, 2026 at 10:21
- 🤖 AI Analyzed: June 12, 2026 at 16:52 (78h 30m after Collected)
Systran Japan LLC (Headquarters: Minato-ku, Tokyo; Japan Representative: Satoshi Egami) became part of the French ChapsVision group in 2024 and will fully launch the group's enterprise AI search product "Sinequa" in the Japanese market this fiscal year, with enhanced support systems.
Leveraging over 20 years of R&D and implementation experience in natural language processing, machine learning, and search technologies, Sinequa is an enterprise AI search solution capable of searching across distributed documents and data within a company to generate AI-powered answers based on evidence. Sinequa was selected as a representative vendor in the 2025 Gartner® Market Guide for Enterprise AI Search.
Background: As AI utilization moves into practical application, the importance of reliable internal search infrastructure is increasing.
As AI is increasingly used for business decision-making and specialized knowledge utilization, many companies face challenges in comprehensively searching for necessary information due to data being scattered across multiple systems.
Furthermore, general AI often fails to provide sufficient answers to highly specialized and complex questions. Additionally, utilizing highly confidential data with AI requires meeting stringent security requirements, such as operational environments that consider data sovereignty and access control management.
In particular, the future use of agent-based AI in business will necessitate a foundation that can accurately reference a company's internal knowledge base to prevent inappropriate decisions caused by general knowledge or hallucinations.
Features of Sinequa
High-precision search for specialized documents
Sinequa identifies highly relevant sections within documents by combining multiple search methods, including semantic search (vector search), keyword search, statistical methods, and natural language processing, across unstructured data like Word and PDF to structured databases. It accurately captures information including company-specific terminology and variations in notation, achieving excellent search accuracy even for specialized documents.
Rapid and secure data integration
Sinequa is equipped with connectors for over 200 enterprise applications, including file servers and SharePoint, enabling rapid indexing of data distributed both internally and externally. It inherits access permissions from the connection source and reflects them in search results and AI answers according to user permissions, allowing usage while maintaining internal information management rules.
Advanced RAG supporting evidence-based AI answers
By combining with specified generative AI models, Sinequa enables summarization and answer generation across multiple documents, as well as advanced analysis. Users can instantly verify the sources and relevant passages supporting the answers, reducing the risk of hallucinations and leading to more reliable decision-making.
Flexible deployment options and scalability, including on-premises
Regulated industries such as defense, pharmaceuticals, and finance have strict security requirements for managing confidential information. Sinequa supports on-premises and private cloud operations, allowing deployment tailored to company policies and system configurations. Its distributed architecture provides scalability and high availability to handle hundreds of millions of documents and numerous concurrent accesses, ensuring stable operation in production environments.
Comment from Japan Representative
Satoshi Egami, Japan Representative of Systran Japan LLC, stated: "While generative AI and AI agents are gaining attention for business applications, many companies are not realizing their full potential due to opaque decision-making processes, hallucinations, and insufficient information governance. To build reliable AI agents, it is essential to accurately search the underlying internal knowledge base and integrate it with AI under appropriate permission management. Through the Sinequa platform, we aim to support Japanese companies in building practical AI utilization environments that can turn their long-accumulated knowledge into new value creation."
Strengthening collaboration with partner companies
Implementing enterprise AI search requires understanding business operations, integrating with existing systems, and addressing security requirements. Systran Japan will collaborate with partners such as SIers, IT solution providers, and AI implementation support companies to provide proposals and implementation support tailored to each industry.
As a first step, we will hold a web seminar introducing Sinequa's product overview and an implementation case study in the manufacturing industry. We look forward to the participation of all interested companies as an opportunity to learn about Sinequa.
Title: What is an AI Utilization Proposal that Resonates with Manufacturing Customers?
Date and Time: June 22, 2026, 14:00-15:00
Organizer: Systran Japan LLC
Participation Fee: Free
Details and Registration: https://majisemi.com/e/c/systran-20260622/M2A
About Sinequa:
Sinequa began R&D in Natural Language Processing (NLP) and Machine Learning (ML) in the 1980s and was incorporated in Paris, France, in 2002. With its strengths in enterprise-level technology and security-focused design, it has been adopted by global corporations and government agencies such as NASA, Airbus, Pfizer, ExxonMobil, and Siemens. It has also been recognized as a Leader in the Gartner® Magic Quadrant™ for Insight Engines for six consecutive years. In 2024, it became part of the ChapsVision group.
About SYSTRAN:
SYSTRAN was founded in the United States in 1968 as the world's first automatic translation development company, moving its headquarters to Paris, France, in 1986. In 2019, its Japanese branch was established to support domestic customers. In 2024, it became part of the ChapsVision group, offering a wide range of products from OSINT products used by defense agencies worldwide to search and agent-based AI products adopted by global corporations.
Systran Japan LLC
Address: 1-4-5 Roppongi, Minato-ku, Tokyo 106-0032, ARK Mori Building South Tower 16F
Phone: 03-4571-2020
Website: https://www.chapsvision.com/ja/platform/sinequa/
Keywords:
Leveraging over 20 years of R&D and implementation experience in natural language processing, machine learning, and search technologies, Sinequa is an enterprise AI search solution capable of searching across distributed documents and data within a company to generate AI-powered answers based on evidence. Sinequa was selected as a representative vendor in the 2025 Gartner® Market Guide for Enterprise AI Search.
Background: As AI utilization moves into practical application, the importance of reliable internal search infrastructure is increasing.
As AI is increasingly used for business decision-making and specialized knowledge utilization, many companies face challenges in comprehensively searching for necessary information due to data being scattered across multiple systems.
Furthermore, general AI often fails to provide sufficient answers to highly specialized and complex questions. Additionally, utilizing highly confidential data with AI requires meeting stringent security requirements, such as operational environments that consider data sovereignty and access control management.
In particular, the future use of agent-based AI in business will necessitate a foundation that can accurately reference a company's internal knowledge base to prevent inappropriate decisions caused by general knowledge or hallucinations.
Features of Sinequa
High-precision search for specialized documents
Sinequa identifies highly relevant sections within documents by combining multiple search methods, including semantic search (vector search), keyword search, statistical methods, and natural language processing, across unstructured data like Word and PDF to structured databases. It accurately captures information including company-specific terminology and variations in notation, achieving excellent search accuracy even for specialized documents.
Rapid and secure data integration
Sinequa is equipped with connectors for over 200 enterprise applications, including file servers and SharePoint, enabling rapid indexing of data distributed both internally and externally. It inherits access permissions from the connection source and reflects them in search results and AI answers according to user permissions, allowing usage while maintaining internal information management rules.
Advanced RAG supporting evidence-based AI answers
By combining with specified generative AI models, Sinequa enables summarization and answer generation across multiple documents, as well as advanced analysis. Users can instantly verify the sources and relevant passages supporting the answers, reducing the risk of hallucinations and leading to more reliable decision-making.
Flexible deployment options and scalability, including on-premises
Regulated industries such as defense, pharmaceuticals, and finance have strict security requirements for managing confidential information. Sinequa supports on-premises and private cloud operations, allowing deployment tailored to company policies and system configurations. Its distributed architecture provides scalability and high availability to handle hundreds of millions of documents and numerous concurrent accesses, ensuring stable operation in production environments.
Comment from Japan Representative
Satoshi Egami, Japan Representative of Systran Japan LLC, stated: "While generative AI and AI agents are gaining attention for business applications, many companies are not realizing their full potential due to opaque decision-making processes, hallucinations, and insufficient information governance. To build reliable AI agents, it is essential to accurately search the underlying internal knowledge base and integrate it with AI under appropriate permission management. Through the Sinequa platform, we aim to support Japanese companies in building practical AI utilization environments that can turn their long-accumulated knowledge into new value creation."
Strengthening collaboration with partner companies
Implementing enterprise AI search requires understanding business operations, integrating with existing systems, and addressing security requirements. Systran Japan will collaborate with partners such as SIers, IT solution providers, and AI implementation support companies to provide proposals and implementation support tailored to each industry.
As a first step, we will hold a web seminar introducing Sinequa's product overview and an implementation case study in the manufacturing industry. We look forward to the participation of all interested companies as an opportunity to learn about Sinequa.
Title: What is an AI Utilization Proposal that Resonates with Manufacturing Customers?
Date and Time: June 22, 2026, 14:00-15:00
Organizer: Systran Japan LLC
Participation Fee: Free
Details and Registration: https://majisemi.com/e/c/systran-20260622/M2A
About Sinequa:
Sinequa began R&D in Natural Language Processing (NLP) and Machine Learning (ML) in the 1980s and was incorporated in Paris, France, in 2002. With its strengths in enterprise-level technology and security-focused design, it has been adopted by global corporations and government agencies such as NASA, Airbus, Pfizer, ExxonMobil, and Siemens. It has also been recognized as a Leader in the Gartner® Magic Quadrant™ for Insight Engines for six consecutive years. In 2024, it became part of the ChapsVision group.
About SYSTRAN:
SYSTRAN was founded in the United States in 1968 as the world's first automatic translation development company, moving its headquarters to Paris, France, in 1986. In 2019, its Japanese branch was established to support domestic customers. In 2024, it became part of the ChapsVision group, offering a wide range of products from OSINT products used by defense agencies worldwide to search and agent-based AI products adopted by global corporations.
Systran Japan LLC
Address: 1-4-5 Roppongi, Minato-ku, Tokyo 106-0032, ARK Mori Building South Tower 16F
Phone: 03-4571-2020
Website: https://www.chapsvision.com/ja/platform/sinequa/
Keywords:
FAQ
What problems does Sinequa solve?
It solves the difficulty of accessing information scattered within companies, hallucinations during AI use, and security issues in managing confidential data.
How accurate is Sinequa's search?
By combining multiple methods like semantic and keyword search, it achieves high accuracy even for specialized documents.
How does it ensure the reliability of AI answers?
Its advanced RAG function, which instantly presents the sources for answers, reduces the risk of hallucinations.
What are its strengths in terms of security?
It inherits access permissions and supports on-premises or private cloud operations, meeting strict security requirements.
What are the future plans in Japan?
It will strengthen partnerships and promote adoption by Japanese companies through initiatives like web seminars for the manufacturing industry.