Alli LLM App Market
: How to use it, features, and the business problems it solves
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What is Alli LLM App Market?
An all-in-one generative AI and AI agent platform for enterprises from Allganize Japan Inc. (Shibuya, Tokyo). It bundles more than 100 ready-made business apps and AI agents (meeting minutes, contract review, internal FAQ and more), a proprietary RAG engine that answers from internal documents—including tables and charts—with cited sources, no-code app building, and admin features such as SSO, IP restrictions, guardrails and audit logs. You can choose models such as GPT, Claude and Gemini, and deploy on-premises or in a private cloud. Pricing is a flat fee with unlimited users: the cloud edition starts at a JPY 300,000 setup fee plus JPY 300,000 per month (excluding tax). Customers include NTT DOCOMO, Persol Communication Service and Meiji Seika Pharma.
Business problems it solves
About "Alli LLM App Market"
What is Alli LLM App Market?
Alli LLM App Market is an all-in-one generative AI and AI agent platform for enterprises provided by Allganize Japan Inc. (Shibuya, Tokyo). It brings together more than 100 business apps and AI agents for tasks such as writing meeting minutes, checking contracts, answering internal FAQs and analyzing companies; a proprietary RAG (retrieval-augmented generation) engine that answers from internal documents with cited sources; no-code app building; and the admin features needed for a company-wide rollout — all on a single platform.
It launched in September 2023. Pricing is a flat fee regardless of the number of users: the cloud edition starts at a JPY 300,000 setup fee plus JPY 300,000 per month (excluding tax). For companies that cannot put confidential information in the cloud, it can also be deployed on-premises or in a private cloud.
Start with ready-made apps, then extend to fit your own work
The official site breaks down why generative AI rollouts stall at "we started using it but it didn't stick" into three causes: answer accuracy, fit with actual work, and operational control. Alli LLM App Market is built to address each one with, respectively, ready-made apps for each business function, a RAG engine that can read tables and charts, and company-wide admin features.
Source: Alli LLM App Market official site (the image below is from the same source)
Users can run each app without writing prompts — just by filling in fields or uploading files. By department, there are apps such as company analysis reports, proposal drafts and sales meeting minutes for sales; inquiry handling for customer support; and contract review for legal. Anything missing can be added by building your own apps and AI agents with the no-code builder.
How to use it
- Clarify requirements through a free consultation or demo You can request a free 30-minute consultation or an individual demo from the official site. A trial is also available so you can try the actual interface and main features.
- Check accuracy with a PoC (pilot) When using the standard apps, Allganize says a PoC environment can be prepared in about two weeks at the earliest. A one-month PoC plan is also available.
- Register internal documents Register the documents to be used for RAG by uploading files or connecting folders. They become available for answers within tens of seconds to about a minute after upload, with no AI pre-training required. Web page URLs can also be registered.
- Choose business apps and roll them out Pick the apps that fit your work from the 100+ standard apps, set permissions by department, role or project, and publish them internally. They can also be used from Slack and Microsoft Teams.
- Improve accuracy as you go and add your own apps Improve accuracy over time with feedback on answers and tuning of the search AI. For tasks not covered, build apps and AI agents with the no-code builder. After introduction, standard support from a dedicated customer success team and hands-on support for adoption are provided.
Features
01AI agents
- Super Agent — An AI agent that handles multiple tasks — research, document writing, data organization, image processing — from conversational instructions
- Deep Research for internal documents — Researches both internal documents and the web to produce research reports. You can narrow down the URLs and documents to be searched
- BI Agent — Analyzes data from Excel, Salesforce and the like through conversation and automatically creates tables and charts
- Sales Agent / Legal Agent — Extracts items for SFA entry from sales meeting minutes, and supports ad copy review against Japan's Act against Unjustifiable Premiums and Misleading Representations, the Pharmaceuticals and Medical Devices Act, the Act on Specified Commercial Transactions and more
- Agent Builder — Build AI agents specialized for your own work without coding
02RAG (automatic answers from internal documents)
- Proprietary RAG that reads tables and charts — Implements technology (patent pending) that recognizes tabular data without breaking it. Designed to maintain search accuracy even for PDFs of hundreds of pages or Excel files with tens of thousands of rows
- Highlighted sources — Shows a preview of the documents used for an answer side by side, with the relevant passage highlighted
- Search tuning and feedback — The search AI (retriever) can be adjusted to your documents, and user ratings can be fed back to improve accuracy
03Business apps and chatbots
- 100+ business apps — Meeting minutes, contract review, internal FAQ, company analysis, email drafts, approval requests and more
- Next-generation FAQ / AI chatbot — Inquiry handling that works just by uploading FAQ data. Can also be published externally with customized icons, colors and tone
- No-code app builder — Build apps just by picking and connecting parts and registering prompts. Supports conditional branching
04Administration and security
- Security settings — IP restrictions, SSO and data encryption. ISO 27001 and SOC 2 Type 2 certified
- Governance rules — Restrict which LLMs can be used, filter inputs and outputs, set banned terms (guardrails), and automatically mask personal and confidential information
- Usage analytics and audit logs — A dashboard showing who uses it for which work and how much, plus logs of all operations and inputs/outputs
- Prompt and permission management — Share effective prompt templates company-wide and set permissions by department or role
Available LLMs and on-premises deployment
You can choose and switch between LLMs such as OpenAI GPT, Claude, Gemini and Azure OpenAI according to the task, cost and security requirements. It can also connect to an Azure OpenAI instance your company already contracts.
If internal information cannot go to the cloud, the full Alli LLM App Market can be placed in your own cloud environment or on-premises. On-premises, the 100+ apps, no-code builder and admin features are all available, and Allganize also provides a Japanese LLM that runs on-premises. The official site says deployment to a private environment takes at least three months, and initial setup takes about one to two weeks once the environment is ready. It connects with Slack, Microsoft Teams, Salesforce and SharePoint, and with other tools via API and MCP.
Pricing
Pricing is a flat fee regardless of the number of users — a "value-based" model under which the price is the same whether there are 10 users or 1,000 (official site as of October 2026; prices exclude tax).
| Deployment | Price (excl. tax) | What's included |
|---|---|---|
| Cloud edition | JPY 300,000 setup + from JPY 300,000/month | 100+ prompts, apps and AI agents; Deep Research for internal documents; RAG that handles charts and tables; choice of LLMs (GPT, Gemini, Claude, etc.); no-code app and agent building; admin features (SSO, IP restrictions, guardrails, usage logs); standard support from dedicated customer success |
| Private environments (private cloud, hybrid cloud, on-premises) | Individual quote | Price depends on the environment and the support provided |
Contract term: The pricing section states "contracts available from a minimum of two months; a one-month PoC plan is available," while the FAQ says "contracts are available in one-month units." Please confirm the actual amount, including what the "from" in the monthly fee covers, by contacting Allganize. In its own estimate, the official site says that if a 20-person team made research and information-gathering work 30% more efficient, it would save 120 hours (about JPY 420,000) per month, with payback in as little as two to three months.
Track record and reputation
The Allganize group has announced that its services — including Alli LLM App Market and the enterprise vibe-coding platform "Alli Coworker" — were used by 240 companies as of the end of June 2026. The case-study figures listed on the product page are as follows.
01As a company-wide generative AI platform
- NTT DOCOMO — Up to 90% less time spent on routine work; about 30% higher accuracy in answering with sources from internal information
- Hitachi Solutions — Generative AI usage among all employees rose about 1.5 times
- Persol Communication Service — Introduced as a shared generative AI platform for about 4,000 employees company-wide, cutting time spent on meeting minutes to about one third
- Meiji Seika Pharma — Uses more than 50 generative AI apps company-wide, cutting internal inquiry handling by 32.3 hours per month. Also used to check regulatory approval documents and analyze MR activity reports
02Inquiry handling and knowledge search
- Mishima Shinkin Bank — About 50% fewer phone inquiries
- 株式会社インボイス (Invoice) — Manual searches cut from 5 minutes to 1 minute
- Persol Career — 5,200 hours per year saved on inquiry handling
Other published cases include KDDI (including its legal department testing the creation of generative AI apps) and JR Kyushu (company-wide use with RAG that handles handwriting and charts, plus no-code development). All of these are published on the provider's official site and are not third-party evaluations.
Pros and cons
Pros
- A flat fee with unlimited users means license costs don't grow as usage spreads, making company-wide rollout easier
- With 100+ ready-made apps, even employees who can't write prompts can start right away
- RAG that answers with highlighted sources — even from documents containing tables and charts — is included as standard
- It can run on-premises or in a private cloud, so it can be extended to work involving confidential information
Cons
- Even the cloud edition starts at a JPY 300,000 setup fee and JPY 300,000 per month (excl. tax), so it is not priced for small teams or individuals to try casually
- The price is shown as "from," so the actual amount for a given configuration requires an inquiry
- Private-environment deployment is quoted individually and takes at least three months
How it differs from other enterprise generative AI platforms
| Product | Provider | Characteristics | Pricing (as listed on each product page at the time of checking) |
|---|---|---|---|
| Alli LLM App Market | Allganize Japan | 100+ business apps + RAG that handles charts/tables + on-premises support. Unlimited users | JPY 300,000 setup + from JPY 300,000/month (excl. tax) |
| ChatSense | Knowledge Sense | Business chat using 10+ models, with RAG, slide generation and admin features | Free plan available; Business from JPY 980 per user/month |
| Glean | Glean Technologies (US) | Searches across internal apps with 275+ connectors and answers while respecting permissions | Not public (individual quote) |
| Kasanare | Kasanare | AI agents built around your work that can operate existing systems under governance | Not public (individual quote) |
| Microsoft Copilot Studio | Microsoft | Build agents with low code and publish them to Teams and Microsoft 365 | Copilot credits (packs at JPY 29,985/month) |
| Dify | Open source (cloud version available) | LLM app development platform for building RAG and workflows without code. Self-hosting available | Cloud from free; self-hosted Community edition is free |
What sets Alli LLM App Market apart is that it combines distributing ready-made business apps to an unlimited number of users with answering, with sources, from internal documents that include tables and charts. If you want to start small with per-user monthly pricing, ChatSense is a comparison point; if you want to search across many internal SaaS tools, Glean; and if you want a deeply customized build that even operates your core systems, Kasanare. If developers will assemble LLM apps themselves, Dify and Microsoft Copilot Studio are also candidates.
Frequently asked questions (FAQ)
Q. How much does Alli LLM App Market cost? A. The cloud edition costs a JPY 300,000 setup fee plus from JPY 300,000 per month (excluding tax). Users are unlimited, and the price does not change as the number of users grows. Use in a private environment such as on-premises is quoted individually.
Q. Can I try it for free? A. You can request a free 30-minute consultation or an individual demo from the official site. A trial is also available, as is a one-month PoC plan.
Q. How is it different from general-purpose tools such as ChatGPT? A. The official site explains that general-purpose tools mainly aim to improve individual productivity, while Alli LLM App Market is designed for embedding into business processes and rolling out company-wide. It combines business-specific apps, security governance, RAG using internal documents and no-code building.
Q. Can it be used on-premises? A. Yes. It can be configured to run entirely within your own network and also supports private clouds. Allganize also provides a Japanese LLM that runs on-premises.
Q. Can I choose the AI model? A. You can choose and switch between major LLMs such as OpenAI GPT, Claude, Gemini and Azure OpenAI according to the task, cost and security requirements.
Q. What size of company is it suited to? A. According to the official site, it is mostly adopted by companies with 1,000 or more employees, mainly in manufacturing, telecom, IT and finance, and mid-sized companies with 300 to 1,000 employees can start small and expand step by step.
The information on this page is based on what was published on Allganize's official website as of October 2026. Please check the official website for the latest specifications and pricing.
