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Allganize Releases AI Application and Agent Usage Rankings for August 2025

Allganize Japan Co., Ltd. (CEO: Yasuo Sato), which provides an all-in-one generative AI and LLM solution, has unveiled the "AI Application and Agent Usage Ranking for August 2025" based on the utilization figures from its platform, the Alli LLM App Market. This latest ranking highlights a significant shift in how companies are adopting AI technologies. The top spot is occupied by a generative AI application that automatically generates responses based on internal documents and specific information (RAG), indicating a transition from general chat usage to specialized business AI applications that leverage unique company data.

As the use of generative AI expands, companies are increasingly expecting productivity improvements and new value creation. However, many still face challenges such as uncertainty about how to effectively utilize the technology or a lack of knowledge regarding effective operational methods. Allganize regularly publishes rankings like this one to inform businesses about practical applications and benefits of generative AI and AI agents. The complete ranking report is now available for download from Allganize's website.

Overview of the Rankings

The "AI Application and Agent Usage Rankings" are derived from the usage data of the Alli LLM App Market, which consists of all-in-one generative AI applications and AI agents. This ranking reflects utilization from August 1 to August 31, 2025.

Top 5 AI Applications and Agents (August 2025)

1. RAG System - Automated Document Response Generation
This application generates clear responses based on inquiries using internal documents, specific information, and online data as references. The RAG system boasts unique features such as advanced diagram support and a high precision response mechanism that offers highlighted bases for answers, continuous improvement through learning, and accuracy.

Reasons for Popularity:
The RAG system effectively resolves several issues faced by companies adopting generative AI:
- Lack of contextual responses based on company specifics
- Concerns about data leaks
- Desire to eliminate hallucination effects
- Challenges with data management

By simply registering documents or specifying URLs, it facilitates quick responses to internal and external inquiries and accelerates efficiency in knowledge searches.

2. LLM and Chat
This chat application allows users to converse with LLM models similar to ChatGPT, featuring controls for security, permissions, and audit logs, making it ideal for balancing convenience and internal control for enterprises.

Reasons for Popularity:
It upholds the convenience of platforms such as ChatGPT, while ensuring essential factors for corporate use:
- Secure Input: Input information is not used for LLM training.
- Governance: Offers visible and controlled utilization management.

3. Custom-made Original Application - AI Agent Creation
Utilizing a no-code builder, this application allows users to create original generative AI applications tailored to their needs. These can be customized to align with specific workflows and can integrate various procedural settings without programming expertise.

Reasons for Popularity:
Businesses at the forefront of generative AI proactively develop their own AI solutions, valuing the ability to create bespoke applications without needing an expert coder.

4. Deep Research for Internal Document Support
This AI agent is specialized in research concerning internal documents, autonomously performing analytics, reporting, and various investigative tasks, acting as a dedicated AI researcher for companies.

Reasons for Popularity:
Capable of combining confidential internal data with standard web information, it's leveraged for strategic decision-making processes.

5. Meeting Minutes from Audio Files
This application connects recorded audio files from meetings to automatically generate minutes by inputting meeting details such as date, participants, and location. It continues to evolve with features like insights extraction and Todo list creation.

Reasons for Popularity:
As minute-taking is a repetitive task faced by many businesses, demand for efficiency improvements in this area is high. It is recognized for significantly reducing the time involved and enhancing the quality and value of generated meeting insights.

Key Trends Observed in AI and Agent Usage Rankings

From the results of this ranking, two major trends can be identified:
1. Shift from Information Retrieval to Task Execution:
AI agents like RAG and Deep Research illustrate that companies are increasingly utilizing AI not just for conversations but for executing specific investigative and analytical tasks.

2. Hybrid Usage of Standard and Custom AI Solutions:
The presence of user-created custom agents in the rankings hints at a burgeoning hybrid approach where businesses integrate readily available applications with self-made AI solutions tailored to niche operations.

For detailed information on the rankings, including background on each application, usage examples, and customer testimonials, a white paper is now available for download from Allganize's website.

Learn More About Alli LLM App Market

The Alli LLM App Market is an all-in-one platform that equips businesses with the tools needed to successfully integrate generative AI into their operations. With features such as over 100 instantly usable generative AI applications and the market's leading no-code builder, it allows for swift customization of solutions tailored to organizational needs.
- Explore more at Allganize.

About Allganize

Founded on the vision of automating and optimizing business workflows with AI, Allganize is a global provider of generative AI and LLM solutions, operating in Japan, the United States, and South Korea. Backed by experienced members and investors, Allganize is headquartered in Shibuya, Tokyo, with additional offices in Houston and Seoul.
- Company: Allganize Japan Co., Ltd.
- CEO: Yasuo Sato
- Location: Shibuya, Tokyo
- Established: January 2019
- URL: Allganize