SniffOut's RAG Ready Converter Partnership Opportunity
In an innovative initiative, SniffOut Co., Ltd. (based in Shinjuku, Tokyo, and led by CEO Tsutomu Kai) is on a mission to improve the accuracy of its RAG Ready Converter. The company is actively seeking five select partners to partake in a joint verification project using real corporate data. This collaborative effort is designed to enhance the effectiveness of the RAG Ready Converter by overcoming the limitations inherent in non-text formats like images and PowerPoint presentations.
What is the RAG Ready Converter?
The RAG Ready Converter addresses the challenge of integrating non-text data formats into the RAG system. Often, the precision of RAG systems is compromised due to their inability to process data found in images, charts, and tables. The RAG Ready Converter transforms these non-text elements into RAG-compatible text, a process named Deplot, thereby significantly enhancing the overall accuracy of the RAG system.
Since the release of its beta version, this tool has received positive feedback from nearly 200 users who signed up on the waitlist. In response to growing interest, SniffOut is now focusing on recruiting partner companies that can provide real data for verification to further improve the tool's performance.
Project Overview
This program invites companies to utilize the RAG Ready Converter to empirically verify and improve the accuracy of RAG systems utilizing their real-world data. Participating organizations will work directly with SniffOut, gaining valuable insights into RAG accuracy in relation to their unique use cases. As a result, SniffOut will apply these insights to enhance the quality and applicability of their tools.
This initiative is ideal for companies already employing other generative AI tools like NotebookLM or Dify, as well as organizations that have developed their RAG infrastructure. It presents a rare opportunity to experience the full process from adoption to precision verification of the RAG Ready Converter.
Target Companies
The following types of organizations are encouraged to apply:
- - Companies currently using tools like NotebookLM or Dify.
- - Organizations that have built and operate their own RAG infrastructure.
- - Firms willing to engage actively in precision verification using their own data (images, Excel, PowerPoint, PDFs, etc.).
Cost Structure
- - RAG Ready Converter Usage Fee: 30% discount from the standard price during the project period.
- - Consulting Fee: A flat fee of 500,000 JPY (tax included).
This fee covers the entire process from diagnosis to accuracy verification.
Implementation Process (Standard Flow)
1.
RAG Ready Diagnosis: Assessment of the provided data to ensure it is suitable for maintaining accuracy in RAG systems.
2.
Test Data Creation: Preparation of evaluation data (e.g., QA) and establishment of the accuracy verification environment.
3.
Pre-Verification of Accuracy: Measurement of the current RAG system's performance.
4.
Application of RAG Ready Converter: Transformation of data into a RAG Ready format.
5.
Effectiveness Verification: Comparison and reporting of accuracy before and after application under the same conditions.
How to Apply & Inquiries
Interested companies can reach out through the contact form provided. A representative will follow up with further details.
- - Contact Form: Application Link
- - Selection Limit: Only five companies will be chosen.
- - Application Period: Open from today (October 15, 2025) until the selection cap is reached.
More Information about RAG Ready Converter
About SniffOut Co., Ltd.
- - Location: 4th Floor, 409, 11-7 Shinjuku 2-chome, Shinjuku-ku, Tokyo
- - CEO: Tsutomu Kai
- - Business Focus: Generative AI utilization and development support, RAG implementation consulting.
- - Company URL: sniffout.net