Paid tool

cinnamon.ai

AI venture offering intelligent document processing and LLM integration solutions.

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Intro

What is cinnamon.ai?

Cinnamon AI (cinnamon ai) is a specialized artificial intelligence venture that provides business AI solutions to support corporate growth strategies. Led by representative directors such as Miku Hirano (平野未来) and executive officers like Hajime Hotta (堀田創), Cinnamon AI focuses on complex document analysis technologies to automate business operations. Their proprietary technology includes the Flax Scanner for high-precision intelligent document processing (IDP) and the Super RAG (スーパーrag シナモン) system, which integrates unstructured internal documents containing tables and figures with large language models (LLMs) to enhance retrieval accuracy.

cinnamon.ai at a glance
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Pricing

cinnamon.ai Pricing Plans

Compare cinnamon.ai free options, cinnamon.ai paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Contact for Pricing

Pricing updated:Jun 12, 2026

Features

cinnamon.ai AI Features

Super RAG (superrag) technology for seamless enterprise document integration with LLMsFlax Scanner high-precision intelligent document processing (IDP) and AI-OCR solutionsCustom AI solution development tailored to specific corporate business issuesIndustry-specific document automation templates for logistics, manufacturing, and financial services
Pros & Cons

cinnamon.ai Pros and Cons

Pros

  • Specializes in parsing complex, unstructured documents with tables and figures
  • Proven track record with major enterprise clients including life insurance and manufacturing firms
  • Offers both customized developmental solutions and packaged AI software

Limitations

  • Detailed pricing plans are not publicly listed on the website
  • Solutions are primarily aimed at large enterprise-scale operations rather than individual users

cinnamon.ai FAQ

Super RAG is a proprietary technology developed by Cinnamon AI (株式会社シナモン) designed to allow businesses to integrate diverse and unstructured internal documents, including those containing complex tables and diagrams, directly into large language models to improve answer accuracy.