Ciny AI

Ciny AI started as a way to fix our own marketing.

Built inside Ruh AI and used on its own marketing first. Now a managed service: a system for repeat work, a team for decisions.

We did not set out to build a marketing product.

Every feature exists because Ruh AI's own marketing needed it.

Read the Ruh AI case study

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.

Four people discussing work around a desktop monitor, with one pointing toward the screen.
Automate the production layer. Keep the judgment layer human.Illustrative stock photo by Vitaly Gariev on Unsplash.

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.

See how delivery works
  • Our team plans and delivers the agreed work with you.
  • You do not need to operate the internal tools.
  • Client dashboard access and connected accounts are confirmed for your engagement.
  • Output, responsibilities and boundaries are agreed before work begins.

Six agents. One content team.

Named software agents, not human employees. Each has a defined workflow. Availability and human review differ by module.

Compare module availability
  • Julia

    Lead Marketing Agent · Software agent

    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.

Three things we refuse to do.

The rules behind every claim, release and connected account.

Read the editorial standard
  1. No fake numbers

    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.

  2. 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.

  3. 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.

See the work behind the claims.

Two stories with different evidence levels. Read each source and its limits.

All case studies

Ruh AI

Organic leads, with the evidence attached.

Weekly organic leads rose from 6 in early July to 20 in the week of 24 August 2026. August paid spend was $0.

  • Measured on our own site. Observed results, not a guarantee or proof of causation.
Weekly organic leads
6 to 20
Evidence
First-party
Read the study

Rapid Innovation

A more connected marketing workflow.

Ruh AI reports 37% more leads for Rapid Innovation after introducing AI-supported research, publishing and lead qualification.

  • Publisher-reported results. Measurement period and methodology are not disclosed. Not a measured Ciny result.
Reported leads
+37%
Source
Ruh AI story
Read the study

Want the crew working for you?

Tell us what you sell, who you need to reach and where the work gets stuck. We agree the scope before any work starts.