Vext Begins R&D on "VOC Analysis Specialized AI Agent" Integrating Advanced Analytical Expertise
Vext Inc. has started research and development for a "VOC Analysis Specialized AI Agent" that utilizes generative AI and RAG (Retrieval-Augmented Generation) technology. This agent will work in conjunction with their text mining tool "VextMiner" and be delivered via their dashboard-style portal "VextPortal." The goal is to enable deep analysis of customer voices (VOC) by anyone, not just specialists, thereby enhancing company-wide operational improvements and decision-making.
📋 Article Processing Timeline
- 📰 Published: May 13, 2026 at 17:30
- 🔍 Collected: May 13, 2026 at 09:01
- 🤖 AI Analyzed: May 13, 2026 at 09:07 (5 min after Collected)
Vext Inc. (Representative Director and President: Satoru Ishii, Headquarters: Meguro-ku, Tokyo, hereinafter referred to as Vext) has commenced research and development for a "VOC Analysis Specialized AI Agent" utilizing generative AI and RAG (Retrieval-Augmented Generation) technology, to be integrated with its text mining tool "VextMiner" and delivered through its dashboard-style portal "VextPortal."
This research and development aims to achieve "democratization of analysis utilization and sophistication of decision-making = anyone can deeply and proficiently use it." This means user companies that emphasize "VOC (Voice of Customer)" can implement advanced analytical know-how into their systems, allowing each 담당자 (person in charge), even without being a dedicated analyst, to deeply analyze VOC and connect it to policy proposals.
■ Background of Research and Development: Turning Analytical Know-How into a Company-Wide Asset
User companies that value customer voices have utilized vast amounts of VOC through text mining tools and established expertise. However, advanced analysis requires proficiency in specialized tools and talent development, and non-specialists needed professional support to utilize these tools effectively. In this research and development, the "VOC Analysis Specialized AI Agent" will take over the specialized analytical tasks traditionally handled by dedicated analysts, such as selecting data extraction conditions and assembling aggregation axes. By interacting in a conversational format, users can select the desired information and gain deep insights without needing expert assistance. Vext, specializing in Natural Language Processing (NLP) and possessing unique analytical technology, will promote the creation of a mechanism to realize a "scenario where all employees become primary facilitators of business improvement by empathizing with customer voices." Vext aims to build an environment where everyone can create value through VOC analysis.
■ Research and Development Roadmap: Differentiation of RAG Technology and Key Points of This Initiative
While many RAG technologies in the market are used for "information retrieval and answer generation," this research and development will apply them to company-wide customer voice analysis across departments and AI inference to gain insights for the next strategic move.
The biggest differentiating factor is incorporating not only actual customer VOC data into the AI's reference knowledge base but also classification axes structured (organized and systematized) by Vext's proprietary text mining technology. This simultaneously suppresses AI's weaknesses, such as ambiguous answers and hallucinations (plausible lies), and enables VOC analysis based on company-wide unified analytical indicators. This realizes "evidence-based AI utilization" that can withstand practical business applications.
1. AI Reproduces the Perspective of Analysis Professionals. Structuring Technology that Understands Analytical Intent
By simply conveying the intent of "What do I want to gain from the analysis?", Vext's proprietary text mining technology automatically creates optimal analysis axes and classification rules to structure VOC data. This allows the AI to survey data based on unified analytical indicators rather than answering from vaguely defined search results, enabling "specific and unambiguous" policy proposals that reflect the company's unique context.
2. Promoting Site-Driven VOC Utilization Without Involving Dedicated Analysis Departments
By transforming the know-how of seasoned analysts into an AI agent, every employee can obtain professional-level analysis results by simply querying in "everyday language." This supports a system where the front lines can complete everything from "grasping the current situation to devising the next step" directly from VOC, without waiting for results from dedicated analysis specialists.
vext_ai-agent
■ Connecting VOC (Voice of Customer) to Corporate Assets: "CX Improvement and Quality Management Brought by Dialogue with AI"
Vext's vision is not to "replace human work with AI," but to foster "human-system collaboration" that extends human creativity through AI. Through this research and development, we aim to realize a world where anyone can "dialogue" with vast customer information databases through AI and extract insights. We will continue to support the realization of 'Quality Management' that transforms diverse VOC into "corporate assets" and enables all employees on the front lines to improve Customer Experience (CX).
■ About Vext
Vext is a solution and consulting vendor specializing in text mining. Its activities started in 1996 as a joint project with Komatsu and Komatsu Software (now Qualica Inc.). In 2013, it spun off and became independent from Qualica Inc., starting operations as Vext Inc.
We have provided various text mining solutions, including VOC analysis tools, automatic summarization, and FAQ generation & maintenance, to over 700 top companies across various industries. In recent years, we have actively promoted the development of products and functions that integrate the latest generative AI with our text mining technology and know-how.
Vext Inc.
Representative Director and President: Ishii
This research and development aims to achieve "democratization of analysis utilization and sophistication of decision-making = anyone can deeply and proficiently use it." This means user companies that emphasize "VOC (Voice of Customer)" can implement advanced analytical know-how into their systems, allowing each 담당자 (person in charge), even without being a dedicated analyst, to deeply analyze VOC and connect it to policy proposals.
■ Background of Research and Development: Turning Analytical Know-How into a Company-Wide Asset
User companies that value customer voices have utilized vast amounts of VOC through text mining tools and established expertise. However, advanced analysis requires proficiency in specialized tools and talent development, and non-specialists needed professional support to utilize these tools effectively. In this research and development, the "VOC Analysis Specialized AI Agent" will take over the specialized analytical tasks traditionally handled by dedicated analysts, such as selecting data extraction conditions and assembling aggregation axes. By interacting in a conversational format, users can select the desired information and gain deep insights without needing expert assistance. Vext, specializing in Natural Language Processing (NLP) and possessing unique analytical technology, will promote the creation of a mechanism to realize a "scenario where all employees become primary facilitators of business improvement by empathizing with customer voices." Vext aims to build an environment where everyone can create value through VOC analysis.
■ Research and Development Roadmap: Differentiation of RAG Technology and Key Points of This Initiative
While many RAG technologies in the market are used for "information retrieval and answer generation," this research and development will apply them to company-wide customer voice analysis across departments and AI inference to gain insights for the next strategic move.
The biggest differentiating factor is incorporating not only actual customer VOC data into the AI's reference knowledge base but also classification axes structured (organized and systematized) by Vext's proprietary text mining technology. This simultaneously suppresses AI's weaknesses, such as ambiguous answers and hallucinations (plausible lies), and enables VOC analysis based on company-wide unified analytical indicators. This realizes "evidence-based AI utilization" that can withstand practical business applications.
1. AI Reproduces the Perspective of Analysis Professionals. Structuring Technology that Understands Analytical Intent
By simply conveying the intent of "What do I want to gain from the analysis?", Vext's proprietary text mining technology automatically creates optimal analysis axes and classification rules to structure VOC data. This allows the AI to survey data based on unified analytical indicators rather than answering from vaguely defined search results, enabling "specific and unambiguous" policy proposals that reflect the company's unique context.
2. Promoting Site-Driven VOC Utilization Without Involving Dedicated Analysis Departments
By transforming the know-how of seasoned analysts into an AI agent, every employee can obtain professional-level analysis results by simply querying in "everyday language." This supports a system where the front lines can complete everything from "grasping the current situation to devising the next step" directly from VOC, without waiting for results from dedicated analysis specialists.
vext_ai-agent
■ Connecting VOC (Voice of Customer) to Corporate Assets: "CX Improvement and Quality Management Brought by Dialogue with AI"
Vext's vision is not to "replace human work with AI," but to foster "human-system collaboration" that extends human creativity through AI. Through this research and development, we aim to realize a world where anyone can "dialogue" with vast customer information databases through AI and extract insights. We will continue to support the realization of 'Quality Management' that transforms diverse VOC into "corporate assets" and enables all employees on the front lines to improve Customer Experience (CX).
■ About Vext
Vext is a solution and consulting vendor specializing in text mining. Its activities started in 1996 as a joint project with Komatsu and Komatsu Software (now Qualica Inc.). In 2013, it spun off and became independent from Qualica Inc., starting operations as Vext Inc.
We have provided various text mining solutions, including VOC analysis tools, automatic summarization, and FAQ generation & maintenance, to over 700 top companies across various industries. In recent years, we have actively promoted the development of products and functions that integrate the latest generative AI with our text mining technology and know-how.
Vext Inc.
Representative Director and President: Ishii