AI inside
: How to use it, features, and the business problems it solves
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What is AI inside?
AI inside is a Japanese AI company that centers on the AI-OCR platform "DX Suite" while also building the RAG agent platform "Leapnet" and the AI edge computer "AI inside Cube." DX Suite is the No.1 market-share AI-OCR, converting every kind of business document—structured or unstructured—into data with industry-leading recognition accuracy, and using AI agents to automate the steps before and after data entry as a single workflow. It combines high-accuracy RAG with a Japanese-specialized LLM and supports on-premises, high-security deployments. Pricing is quote-based, tailored to the product and scale of use.
Business problems it solves
About "AI inside"
What is AI inside
AI inside is a Japanese AI company that centers on the AI-OCR platform "DX Suite" while also building a RAG agent platform and AI edge computers. Under the banner of "AI-first management," it turns in-house data into usable knowledge, converts every kind of business document into data, and enables on-premises AI—all at production-grade quality and high security. DX Suite in particular holds the No.1 market share in AI-OCR and is widely used to automate data-entry work.
Source: AI inside official site (the image below is from the same source)
Main products
AI inside offers three flagship products for different use cases.
01DX Suite (AI-OCR)
The No.1 market-share AI-OCR. Whether documents are structured or unstructured, it converts every kind of form and format into data with industry-leading recognition accuracy. With AI agents, you can automate the steps before and after data entry as a single workflow.
02Leapnet (RAG agent platform)
A platform that turns in-house data into knowledge through RAG so that anyone can build AI agents tied directly to real business work. High-accuracy RAG and a Japanese-specialized LLM deliver production-grade quality, and it can be adopted at low cost.
03AI inside Cube (AI edge)
An edge computer that lets you run AI in an on-premises, high-security environment. It removes the burden of hardware selection and system building, supporting your operations with speedy setup and simple usability. A new architecture dedicated to AI inference, "Cube Atlas," has also been announced.
How to use (adoption flow)
Choose the product that fits your challenge, connect your data, and put it into operation.
Choose your challenge
Clarify your goal—digitizing business documents, leveraging in-house knowledge, on-premises AI, and so on.
Select a product
Pick from DX Suite (AI-OCR) / Leapnet (RAG) / Cube (edge).
Connect and configure data
Import business documents and in-house data, then set up recognition, knowledge, and agents.
Operate and automate
Automate the surrounding steps, too, and embed it into your real business workflows for ongoing operation.
Because it also supports on-premises and high-security requirements, it is easy to adopt even for work that handles sensitive data.
Pricing
Pricing is an individual quote based on the product and scale of use (contact for pricing) (as of August 2026).
Pricing is quote-based. DX Suite (AI-OCR), Leapnet, and AI inside Cube each have different plans depending on factors such as document volume, number of users, and on-premises configuration. Because the setup is tailored to your recognition volume and operating structure, please contact the [official site](https://inside.ai/) for specific pricing and terms.
How it differs from other AI-OCR / RAG tools
The strength of AI inside is that it can supply everything from AI-OCR (data conversion) to RAG agents (knowledge use) and on-premises edge execution from a single company, all built on Japanese-language support and high security. It doesn't stop at recognition; it extends to automating the surrounding steps and leveraging in-house knowledge.
| Aspect | AI inside | Single-function AI-OCR / RAG |
|---|---|---|
| Scope | AI-OCR + RAG agents + edge | Mostly single-function |
| Accuracy & language | Industry-leading recognition / Japanese-specialized LLM | Varies by tool |
| Security | Supports on-premises and high security | Often cloud-only |
| Track record | No.1 market share in AI-OCR | Varies by vendor |
Nearby options include Document Force, which automates matching and transcription after recognition; Dify for building RAG apps; and Mastra for agent development. AI inside is a good fit for companies that want to cover everything from digitizing business documents to building in-house AI themselves, end to end, with Japanese-language support and high security.
FAQ
Q. What are AI inside's flagship products?
Centered on the AI-OCR "DX Suite" (No.1 market share), it also offers the RAG agent platform "Leapnet" and the AI edge computer "AI inside Cube."
Q. What kinds of business documents can it digitize?
DX Suite can convert every kind of document and format into data—structured or unstructured—with industry-leading recognition accuracy. It also supports automation of the surrounding steps.
Q. Can it be used on premises?
Yes. With AI inside Cube, you can run AI in an on-premises, high-security environment, and it is designed to be easy to adopt even for work that handles sensitive data.
Q. How much does it cost?
Contact for pricing. It is quoted individually based on the product and factors such as document volume, number of users, and configuration. Please contact the official site for details.
The information on this page is based on content published on the official site as of August 2026. Products and pricing may change, so please check the AI inside official site for the latest details.
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