The AI content platform
Oceanus is an AI content platform. Every film, episode, document and image a brand makes is understood by AI the moment it arrives, so it can be found, translated, answered and turned into new formats.
Brands produce more than any team can watch, read or listen to. What nobody has read cannot be searched, translated, reused or answered. It sits in a folder with a filename.
Thousands of scans, reports and scripts nobody has opened since the day they were saved.
Hundreds of hours of episodes and interviews with no record of what was said in them.
Stories written for the region that never reach the world, because translation is a project.
A simple question about your own archive takes a person a day to answer, if it gets answered.
Scans, PDFs, reports and slides are read by AI: text recognised, summarised, key topics pulled out, in Arabic and English. Scanned publications open as page-turning books, right-to-left included.
Podcasts, interviews and voice notes are transcribed, summarised and made searchable by what was said. Chapter markers and translated show notes for every episode.
Videos get transcripts, captions in Arabic and English, and scene descriptions, so an editor searches for the drone shot of the marina at sunset and finds it.
Titles, descriptions, summaries and transcripts move between Arabic, English and eight more languages automatically, with the Arabic original always kept as the source of truth.
Anyone asks the library a question in plain Arabic or English and gets an answer with the exact page, minute or clip it came from. Answers are drawn only from the brand's own material.
A document becomes an audiobook. An episode becomes an article. A lesson becomes a quiz with a generated question bank. The same content, in the format each audience wants.
A team drops in a film, a scan, an episode or a deck. Nothing to fill in.
It is read, transcribed, described, summarised and tagged, in Arabic and English.
AI suggests the title, summary, topics and age group. A person confirms in seconds.
Staff and audiences search by meaning and ask questions of the whole library.
Translated, transformed into new formats, and shared through links the brand controls.
AI never publishes on its own. It proposes, people decide. That is what keeps the brand's voice the brand's.
The AI takes on a different share of the daily work for each kind of organisation. These are the shapes we see most.
Every scanned page is read, summarised, tagged and translated. A reader asks what happened in a town in a given year and gets the answer with the very page it came from, shown as a page-turning Arabic book.
Automatic transcripts, summaries, chapter markers and translated show notes. Listeners search by what was said, and an episode becomes an article or a set of quotes in a click. Programmes get captions, summaries and suggested age groups, and the catalogue writes itself.
Each reading and video gets a summary, key points and a generated question bank. Learners ask questions and get answers drawn only from the academy's own material, in Arabic, with the source shown. Delivered where they already teach, through LTI 1.3.
One story, ten languages, the same afternoon. A ministry, embassy or partner asks for the story of a milestone and gets it, with its images and figures, from an archive the AI has already read end to end. Footage is logged scene by scene while the crew sleeps.
Bring a scan, an episode and a question. Leave with the answer.
Each type has its own viewer, so nothing is downloaded to be understood. Office documents open in Microsoft Office for the web. Video streams adaptively. Courses run in a sandbox and report back to the LMS.
The AI learns each brand's library separately. A question asked inside one workspace is answered only from that workspace, unless a brand deliberately shares. Independently security-tested for exactly that.
The AI reads, summarises and answers in Arabic first, with Arabic type chosen for reading and ten languages ready. Most platforms bolt Arabic on last, and it shows in every answer.
Ask across a group for footage of a heritage site, and the AI finds the archive clip, the broadcast segment and the news photo, with the owners' permission built in.
Runs on models hosted in the region or on cloud models, chosen per task. Sensitive archives never leave your control. A media lab can plug in its own.
One API serves the web app, the browser extension and any third party. Learning systems connect through LTI 1.3. Anything shareable becomes an embeddable card with a signed, expiring link.
Lean, curated metadata: an age group, a few topics, a title and a description in each language. AI proposes every one of them. A person approves.
See it with your own content