About
Jade AI reviews communications before they reach the media, so the drafts that leave an organization are clear, accurate and consistent in every language it publishes in.
At a glance
The product
Jade AI is an editorial intelligence layer for teams that publish on behalf of an organization. It reviews drafts of press releases, media pitches, articles, executive statements and social copy, then returns structured editorial feedback: where the message is unclear, where a claim needs support, where the tone drifts away from a house voice, and where the phrasing reads as generic filler.
The purpose is not to write on a team’s behalf. It is to make human editorial judgement faster and more consistent, especially when a communications team is working across more than one language and against a deadline.
Jade AI is being built for the people who carry an organization’s credibility in public: PR agencies managing several clients at once, corporate communications and marketing teams handling a steady stream of announcements, publishers producing editorial at volume, and startups that publish without a dedicated communications function.
These teams share one constraint. Every draft that leaves the building either strengthens or weakens trust, and there is rarely enough review time to catch everything before publication.
Jade AI is built by CC Global Nexus Inc., a media and communications group. The team behind the product works in media relations, publishing and content distribution, so the review logic starts from editorial practice rather than from a general-purpose language model.
Jade AI is a CC Global Nexus company.
Jade AI is in development, with early access planned for 2027. The pilot pair is English and Traditional Chinese, beginning with organizations working in or with Taiwan. Additional languages are being designed for, including Simplified Chinese, Japanese, Korean and Spanish.
Organizations that want to take part in the pilot can request early access from the home page.
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The review criteria Jade AI works from, and the failure modes they are designed to catch, are documented in our editorial standards.