Allganize Deep Research
2025-05-20 03:10:09

Allganize Launches Deep Research Feature to Enhance Document Research Efficiency

Introduction


In a significant stride toward enhancing productivity, Allganize Japan has unveiled its latest feature, Deep Research, developed to revolutionize the way businesses handle internal documentation and information retrieval. As an all-in-one generative AI and LLM solution provider, Allganize brings this powerful tool to the market, designed to streamline the research process that traditionally spans hours.

What is Deep Research?


Deep Research acts as an AI agent capable of autonomously executing an entire suite of research tasks - from designing research methodology to generating comprehensive reports. This functionality not only facilitates information gathering from the web but also taps into internal documents and specialized data sources. This new feature is integrated into Allganize's generative AI and LLM platform, the Alli LLM App Market, which aims to centralize and optimize the utilization of AI in business operations.

Key Features of Deep Research


Deep Research enhances traditional research methods with an array of innovative capabilities:
1. Research Using Internal and Specific Documents: Users can include previously registered documents, allowing the AI to function as a dedicated researcher. This capability enables research from multiple designated documents, facilitating comprehensive analysis without the manual overhead.
2. Highlighting Relevant Citations: During the research process, documents referenced in the findings will be displayed, with clickable citation marks that lead directly to the relevant section highlighted, allowing for immediate verification of sources.
3. Intuitive Document Management: Documents in various formats such as PDF, Word, PPTX, and Excel can be easily uploaded to the document list. The user interface is designed for intuitive navigation and management, ensuring that all users can efficiently oversee their research targets.
4. Selecting Research Targets from Multiple Sources: Users can choose their research targets, which can include both registered documents and web information. This flexibility allows for tailored research scenarios whether one opts for registered documents only, web information only, or a combination of both.

Practical Applications of Deep Research


Deep Research proves its worth in various scenarios, enabling organizations to extract valuable insights from both internal resources and external data. Here are some examples of its effective applications:
  • - Conducting customer analysis using both internal and external data to formulate robust sales strategies.
  • - Reviewing past reports to identify similar events and develop appropriate response plans.
  • - Analyzing large sets of manuals or guidelines to deliberate on the best course of action.
  • - Combining proprietary and public information to create comprehensive management analysis reports.
  • - Crafting marketing strategies based on the latest market trends and Voice of the Customer (VoC) insights.

Accessibility of Deep Research


Deep Research is now accessible to clients of the Alli LLM App Market at no additional cost. This feature emphasizes Allganize’s commitment to providing clients with cutting-edge solutions for maximizing their operational efficiency.

Alli LLM App Market Overview


The Alli LLM App Market serves as an all-in-one generative AI and LLM platform, offering over 100 applications that do not require prompts for operation. It features a no-code app builder, a high-precision proprietary RAG system, data integration capabilities, security measures, and prompt management, all aimed at facilitating the effective use of AI within corporate structures. This platform addresses common challenges faced by companies, such as understanding the types of tasks suitable for AI, creating effective prompts, and ensuring that the applications cater to specific business needs.
The generative AI applications included can immediately be applied to workflows, handling tasks such as automatic document response generation, contract clause checks, customer service email creation, and report creation. The platform allows seamless connectivity with internal data and systems like Teams and Salesforce, enhancing operational flow through advanced AI utilization.
Furthermore, users can choose from various LLM models based on their needs, including OpenAI’s GPT series, Microsoft’s Azure OpenAI models, Google’s Gemini series, and Anthropic’s Claude series. Creating and customizing new apps or integrating data is simplified with no-code solutions, making advanced AI accessible to all users regardless of their technical background. With adaptive capabilities for on-premise delivery and support for Japanese LLMs, Allganize ensures compliance with diverse security policies.

About Allganize


Founded with the vision of "automating and optimizing workflows for all businesses through AI," Allganize is a global provider of all-in-one generative AI and LLM solutions, with a strong presence in Japan, the USA, and Korea. Established by a team with rich experience in the global market and supported by domestic and international investors, Allganize operates from its offices in Tokyo, Houston, and Seoul, driving its mission to bring AI-driven efficiency to enterprises.
  • - Company Name: Allganize Japan Inc.
  • - CEO: Yasuo Sato
  • - Location: Shibuya, Tokyo
  • - Established: January 2019
  • - Website: allganize.ai


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