qed-inc.co.jp

What It Is

QED inc. is an enterprise IT services company based in Tokyo, Japan, positioning itself around “shaping new ways of working with AI.” Judging from the main content on its website, its focus is not standardized SaaS subscriptions, but support for corporate adoption and promotion of generative AI, generative AI training, and no-code system development. The company was founded in September 2020, and its publicly listed services are “generative AI implementation/promotion support” and “development using no-code.”

Core Capabilities and Functional Scope

QED’s core offering appears to center on two areas. The first is corporate generative AI training: the website says more than 500 companies have applied, and provides an approximately 14-minute explainer video plus a 62-page generative AI guide. The second is no-code system development: the site claims more than 100 client implementations and emphasizes reducing initial and operational system development costs through no-code templates. Recruitment information indicates that the team uses tools such as Bubble and Figma, suggesting that delivery may revolve around no-code development, project design, and project management. Standard SaaS capabilities such as team collaboration, permission management, APIs, and developer support are not disclosed in the main website content.

Pricing and Service Model

The official website does not list plans, monthly fees, project pricing, or SLAs. Instead, it primarily drives lead conversion through document downloads and “free consultation” calls. Notably, its generative AI utilization training mentions that subsidies of up to 300,000 JPY per employee may be available through grants, but this should not be treated as the service price. Overall, QED should be evaluated through custom quotes for enterprise training, consulting, and bespoke development projects.

Pros and Cons

Its strengths lie in its focus on two major enterprise digitalization themes: generative AI and no-code. It also presents relatively clear adoption figures. The availability of materials, videos, and consultation entry points makes it suitable for companies in the early stages of AI adoption that need foundational understanding. The downside is limited procurement transparency: the site does not disclose security or compliance certifications, data protection details, deployment methods, payment methods, API capabilities, or permission systems. Companies with strict requirements around information security, cross-border data, or system integration should verify these points carefully during the presales stage.

Best Fit and Access from China

QED is better suited to companies in the Japanese market that want to conduct AI training, promote AX/DX transformation, or quickly build internal systems using no-code methods. Chinese companies considering procurement should factor in language, time zones, contracts and payments, cross-border service delivery, and local compliance requirements. Website accessibility from China cannot be determined from the available content and should be marked as unknown. Local alternatives may include domestic AI training providers, low-code/no-code platforms, and solutions such as 钉钉宜搭, 明道云, and 飞书多维表格.