Karakuri and Helpfeel Sign Strategic Partnership

Karakuri Inc. and Helpfeel Inc. have formed a strategic partnership to enhance AI-driven customer support. This collaboration allows companies using Helpfeel's knowledge base to integrate Karakuri's AI agent, enabling more advanced automated responses that go beyond simple FAQ guidance to include problem identification and task completion.
partnershipNQ 100/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: April 7, 2026 at 01:09
  • 🔍 Collected: April 6, 2026 at 16:30
  • 🤖 AI Analyzed: April 18, 2026 at 07:37 (279h 7m after Collected)
Karakuri Inc. (Headquarters: Chuo-ku, Tokyo; CEO: Shimon Oda; hereinafter referred to as Karakuri), a developer and provider of a customer support AI platform, is pleased to announce that it has entered into a strategic partnership with Helpfeel Inc. (Headquarters: Kyoto City, Kyoto Prefecture; CEO: Isshu Rakusai; hereinafter referred to as Helpfeel).

Through this partnership, companies using 'Helpfeel' will be able to smoothly introduce customer support AI agents such as 'KARAKURI GeN' provided by Karakuri, while leveraging existing FAQ knowledge, and receive consistent support. Both companies will promote AI adoption at the customer touchpoints of businesses, driving the bottom-up improvement of the entire customer support industry and the practical application of generative AI.

## Background of the Partnership: Widely Opening Up the Track Record of Market-Leading AI Agents

Currently, the customer support market is facing a severe labor shortage, and 'improving self-resolution rates' through generative AI has become an urgent issue. According to the 'Call Center White Paper 2025' published by Rick Telecom, 76% of companies feel recruitment difficulties, and 'automation by generative AI' ranks highest in IT investment priorities. *

In fact, Karakuri's generative AI agent 'KARAKURI GeN' has maintained a consistent quarterly average growth rate of 45% since its release in 2024. Karakuri has been promoting the use of AI agents based on its own FAQ tool 'SmartFAQ' and AI-native CRM 'KARAKURI CXM'. This partnership goes beyond that framework, adopting an open strategy to 'maximize the utilization of excellent existing knowledge assets in the market through the power of AI agents'.

Helpfeel has a track record of supporting over 800 sites and excels in building and operating high-quality knowledge. By adding Karakuri's 'AI agent strong in execution and identification' to companies with such high-quality knowledge foundations, it enables advanced automated responses that maximize the use of existing assets.

*Source: Quoted from 'Call Center White Paper 2025' published by Rick Telecom.

## Value Proposition of This Partnership

Companies that have already implemented 'Helpfeel' will be able to add Karakuri's customer support AI agent 'GeN', etc., while leveraging their existing knowledge assets. While maximizing the utilization of knowledge built with 'Helpfeel', they can extend to conversational problem identification and completion of procedures for customers who are difficult to handle with general FAQ responses. This is the direction we wish to propose with this partnership.

### 1. Automation of Problem Identification and Execution, Going Beyond Information Presentation

In addition to the high-quality knowledge gained through Helpfeel's excellent searchability and analysis support, GeN will organize the situation and intent through dialogue with the user.

We propose a system that not only guides through FAQs but also identifies problems by asking clarifying questions as needed, and supports the completion of various procedures and tasks through system integration.

### 2. Leveraging Existing Knowledge for Faster Startup

The knowledge that has been refined with 'Helpfeel' will be utilized as the reference base for the AI agent.

By leveraging existing assets, we propose a method of quickly establishing highly accurate customer support based on existing strengths, rather than rebuilding an AI knowledge base from scratch.

### 3. Expanding CS from Response Tasks to Creative Work

By having AI handle routine inquiries and procedural tasks, we aim to create a system where CS departments can more easily focus on areas such as complex problem-solving, customer experience improvement, and VOC utilization.

We propose that the significance of this partnership lies not only in simple labor saving but also in broadening the role of the CS organization itself.

## Future Outlook

Karakuri will deploy a flexible sales strategy that is not limited to specific products, starting with this distribution agreement. In the future, we plan to build best practices that leverage the product characteristics of both companies, and aim to accelerate the AI-driven transformation of the customer support market from the bottom up.

## Comments from Both Companies

**Helpfeel Inc. CEO / Isshu Rakusai:**
AI implementation is not the goal. True value lies in how reliably we can bring tangible results to our customers' performance. Through this partnership with Karakuri, which excels in optimizing for various industries and companies, Helpfeel will be able to provide comprehensive AI solutions that span customer touchpoints. We believe we can propose more individually optimized solutions to the complex challenges faced by enterprise companies by combining the strengths of both companies.

This partnership is also an important strategic step for Helpfeel, which aims to become a global AI company originating from Japan. To win in the global market, we will pursue selection and concentration of resources, and accelerate co-creation with partners possessing outstanding technology in Japan. We will sublimate corporate knowledge into competitiveness and advance the social implementation of AI from Japan to the world.

**Karakuri Inc. CEO / Shimon Oda:**
The essence of customer support lies in correctly identifying customer issues and guiding them to a swift resolution. Helpfeel's 'knowledge base with excellent searchability' is a powerful foundation supporting corporate self-resolution rates and is already playing a significant role in many practical applications.

With this collaboration, we can now overlay our AI agent's 'problem identification through inquiry' and 'completion of procedures' onto that foundation. Instead of just finding information, we can identify issues through dialogue and even proceed with processing as needed. We believe we can now propose such new customer support paradigms as a more realistic option. Karakuri will not only focus on individual company efficiency but also promote the evolution of the customer support domain itself.