Retro Inc. Certified as Partner in Anthropic's Claude Partner Network

Retro Inc. (Headquarters: Chiyoda-ku, Tokyo; President and CEO: Seiji Mishima) is pleased to announce that it has obtained certification for the "Claude Partner Network," an official partner program operated by Anthropic.

Building on our track record of daily AI utilization in our own operations, we will advance our training and technical content through this network to enhance AI implementation support for businesses in a safer and more practical manner.

About the Claude Partner Network

The Claude Partner Network is an official partner program for companies that support the implementation and utilization of Anthropic's AI assistant, "Claude." Certified partners can build support systems to help companies safely and practically integrate Claude into their operations through access to training programs, technical content, and the latest product information.

From "Implementation" to "Safely Achieving Results" with AI

While the business use of generative AI is rapidly expanding, companies still face the following challenges:

- Difficulty in determining where to start and which tasks to apply AI to for effective results. - Hesitation to fully implement due to concerns about information handling and security. - AI utilization being confined to a few individuals, not reaching a state where the organization as a whole can "use" it.

In response to these challenges, we have thoroughly utilized AI in our own operations, accumulating results and operational know-how by integrating it into proposal creation, production, and operational tasks. With this Claude Partner Network certification, we will add accurate and up-to-date knowledge based on primary information to our achievements, further solidifying our support for AI implementation in businesses.

Examples of In-House Implementation Achievements:

Automation of Operations We have internally developed mechanisms for automating 18 types of tasks, including proposal document creation, creative production, social media management, and internal reporting.

Systematization of Know-how We have organized "criteria for decision-making" as shared organizational assets, systematizing 84 decision-making standards as internal knowledge.

Establishment of AI Operations We have established daily operations where AI automatically aggregates and organizes work status, creating a system that can be utilized company-wide without being dependent on specific individuals.

*Figures are based on our company's achievements as of June 2026.

"Usable" Know-how Cultivated Through In-House Implementation

We have gone beyond simply introducing tools, practicing the entire process of integrating them into actual business workflows.

Knowledge Backed by Practical Experience Implementation know-how gained from both successes and failures through daily AI operations in our own business.

Design Prioritizing Security Implementation policies that prioritize safety, considering information handling and operational rules.

Accuracy Based on Primary Information Support provided with the latest and most accurate information, obtained through official training and technical content.

Systematization to Prevent Silos Support for building operational systems that can be managed by the organization, without relying on a few individuals.

Comments from the Representative:

"We first thoroughly utilized AI in our own operations, accumulating practical experience on where results are achieved and where risks lie. In implementation support, we believe the most important thing is not to emphasize novelty, but to steadily lead to results while safely handling customer information. This Claude Partner Network certification adds the accuracy of primary information to that practice. Building on our own achievements, we will proceed with support that allows companies to use AI with peace of mind."

(Seiji Mishima, President and CEO, Retro Inc.)

Future Developments

With this certification, we will sequentially undergo training through the Claude Partner Network content and reflect it in our AI implementation support services for businesses. By combining the practical knowledge cultivated in-house with the latest insights based on primary information, we will contribute to the AI utilization and productivity improvement of companies.

Company Overview

Company Name: Retro Inc.

Representative: Seiji Mishima, President and CEO

Location: Gran Suidobashi 1F, 3-4-4 Kanda Misaki-cho, Chiyoda-ku, Tokyo, 101-0061

Corporate Number: 8011001146047

Business Activities: AI implementation and utilization support for businesses, etc.

Tel: 03-6261-5075