We set out to fix our own marketing. CinySuite, the platform behind Ciny, started inside Ruh AI, a construction-AI company. Its designer-led team kept losing the content war to the calendar. So we built the machine we wished existed, ran our own company on it, and only then productised it.
Dogfooding is the origin story.
Every feature exists because Ruh AI's own marketing needed it: the review room because we would not publish unreviewed AI content under our brand, the persona panel because “looks fine to me” is not quality control, the cadence engine to coordinate approved publishing without relying on a manual calendar.
Humans stay in charge. On purpose.
We believe the production layer of content should be automated and the judgment layer should not. That split is baked into the architecture: the engine can research, write, design and schedule alone, but going live is a human's single click, and Auto Publish stays off by default.
Automate the production layer. Keep the judgment layer human.Illustrative stock photo by Vitaly Gariev on Unsplash.
The delivery model
A managed service.Not software to learn.
Ciny is a managed service supported by an AI platform. You work with the team, not the tools.
Turns research into content briefs for the rest of the crew. Search Console evidence feeds her briefs where the SEO module is connected.
Alex
Blog Writer · Software agent
Writes long-form articles with covers, inline infographics and internal links, checks each one against an SEO score gate and publishes to a Strapi CMS after review.
Scarlett
Social Media Manager · Software agent
Builds branded statics and carousels from your brand pack, writes per-platform captions and publishes to LinkedIn, Instagram and Facebook.
Piper
Data Hub Keeper · Software agent
Keeps the Data Hub, seven ground-truth files written with your team that your content is checked against. Its proof file is the only source of figures content may state, and automated claim checks flag other figures for review.
Diane
Analytics Lead · Software agent
Runs the AI reader panel, 20 personas by default, that scores content after it is written, and archives the feedback. Scores can guide revision, but they do not block publishing or prove customer response.
Available
Franklin
Newsletter and Email · Software agent
Drafts newsletter issues from your blogs and trending sources for review. Scheduled and drip email are planned.
The house rules
Three thingswe refuse to do.
The rules behind every claim, release and connected account.
Sources distinguish first-party Ruh AI measurements, publisher-reported customer outcomes, historical search demand and workflow scope. Results are not forecasts. Availability is labelled Live, Available, In build or Planned.
02
No unreviewed publishing
Publishing is review-first by default, and Ruh AI's own publishing runs with Auto Publish off. A client's configuration cannot switch Auto Publish on.
03
No credential hoarding
Credentials sit in a per-client vault. The Ciny team sees masked key names, never values, and each client's dashboard has its own installation and data store.
Work in practice
See the workbehind the claims.
Two stories with different evidence levels. Read each source and its limits.