01
Start with trusted material
Work from documents, notes and references that an expert or organization has approved.
Clearer knowledge, better understanding
Make expertise easier to understand.
Clarenio is building a source-first, human-reviewed workflow that turns expert-approved knowledge into clear, accessible educational videos for clinics, educators and other expert-led teams.
From source to story
A clearer path from expert knowledge to video.
InputApproved source material
DraftScript and scene plan
ReviewHuman editorial approval
OutputCaptions and video
AI assistance is planned for bounded drafting and source organization. People stay in control of what gets published.
Useful information should not be hard to follow.
Experts already have the knowledge. Their teams and audiences need a practical way to turn that knowledge into short, understandable explanations without losing the source behind each claim.
02
Make the structure visible
Organize a story, scene plan and captions so readers can follow the reasoning behind the video.
03
Keep a person in the loop
Every public explanation can be reviewed and edited before it reaches an audience.
A workflow designed for clarity.
Clarenio connects the steps that are usually scattered across documents, scripts, editing tools and review threads.
01 · CollectAdd the approved source material and define the audience.
02 · ShapeCreate a plain-language script and a visual scene plan.
03 · CheckReview the draft against the original source.
04 · ProducePrepare narration, captions and a shareable video.
05 · ImproveUpdate the affected scenes when approved material changes.
An architecture built for traceable work.
The product is designed around a simple contract: every generated explanation starts with approved material, every important claim can be checked, and every public output has a human owner.
INPUT
Versioned source material
Documents, notes and references are stored with their source context so a draft can be reviewed against the material that produced it.
ORCHESTRATION
Bounded AI tasks
The AI layer is planned for specific steps such as plain-language drafting, scene suggestions and source organization instead of an open-ended publishing agent.
CONTROL
Human approval gates
Editors can revise the script, check the source and approve the final narration, captions and video before anything is shared.
A deliberate AI layer.
Clarenio is being designed around Claude for bounded, reviewable tasks. We are validating the first integration against source fidelity, latency and cost before production rollout.
Planned integration
One model for each job, with a clear boundary.
A fast Claude model can help create first-pass summaries and script drafts. A reasoning-capable Claude model can help map claims to source sections, identify missing context and propose a scene structure. These are drafts for a human reviewer, never automatic medical, legal or financial advice.
What we want to learn
Our first integration will use a fast Claude model for summaries and script drafts, and a reasoning-capable model for source mapping and scene structure. Final model assignments will follow current Claude offerings and our evaluation results. Claude Code, applied AI office hours and prompt-caching guidance would help us iterate on the prototype responsibly.
Where we are today
Documentary production is our starting point.
Our Elvis prototype is being developed around scripting, scene planning, narration, captions, previews and rendering. It gives us the production foundation for the next Clarenio workflow.
What comes next
We are exploring source-linked educational videos for clinics, educators and other expert-led teams. This is an early-stage, pre-launch direction. AI integration, professional review workflows and source-to-scene links are planned work, not claims about a finished public product.
Clear about what exists and what comes next.
A reviewer should not have to guess which parts are working today, which parts are being tested and which parts are future product work.
IN PROTOTYPE
Documentary production workflow
Script editing, scene planning, narration management, captions, previews and rendering are the foundation we are developing today.
NEXT
Source-linked educational drafts
We plan to connect approved source sections to script claims and proposed scenes so an editor can check the path from evidence to explanation.
LATER
Expert-led pilots
We will validate the workflow with carefully scoped educational content before expanding into higher-stakes domains or sensitive data.
An example pilot workflow.
Illustrative scenario — not a customer case study. This is how we would test Clarenio with an expert-led team while keeping the source, review and outcome visible.
01 · Approved guideA clinic provides a general, approved patient-information document.
02 · First draftClarenio proposes a short, plain-language script and scene plan.
03 · Source checkThe responsible professional checks claims against the original sections.
04 · Accessible videoThe team prepares narration, captions and a shareable explanation.
05 · MeasureWe measure source fidelity, editing time, latency and audience understanding.
Built around responsible explanation.
Clarenio is designed to help experts explain what they know. It is not a diagnostic service and it does not replace professional judgment.
Source-first
Drafts begin with material an organization or expert has approved.
Human approval
People review, edit and approve content before publication.
Clear boundaries
Educational content is kept separate from diagnosis, treatment or individualized advice.
How we build.
Our product story is intentionally specific: a reviewer should be able to understand the problem, the workflow, the current stage and the next experiment without relying on context hidden in our heads.
01
Concrete over vague
We describe the input, the transformation and the output instead of calling Clarenio a generic AI platform.
02
Evidence over promises
We separate working prototype flows, planned features and future experiments. Progress claims will be supported by real work.
03
Responsible by design
We keep expert review, source context and clear boundaries at the center of every higher-stakes use case.
The team behind Clarenio.
A small team building the bridge between expert knowledge, thoughtful production and accessible communication.
KS
Kadir Celil SayınFounder & Product LeadAY
Ahmet YılmazEngineering LeadAS
Akın SonerAI & Research LeadFD
Faruk DoğanVideo Systems LeadAT
Ayşe TurkazDesign & Communications LeadQuestions we answer directly.
Clarenio is early, so clarity about scope matters as much as the vision.
Is Clarenio public today?
No. It is an early-stage, pre-launch project. The current work is an evolving documentary production prototype.
Is the AI layer already in production?
Not yet. We are validating a planned integration for bounded drafting, source organization and editorial assistance.
Does Clarenio give medical advice?
No. The initial scope is educational content reviewed by the responsible expert. Clarenio does not diagnose, prescribe or replace professional judgment.
Let’s make knowledge clearer
Have expert knowledge your audience needs to understand?
We are building Clarenio as an early-stage product and are interested in thoughtful pilot conversations.