For course-production teams
Rebuild a finished course in every language — from one edit, not fourteen.
AI that regenerates the linear media and its localisation, so your designers never rebuild the same course by hand again.
The version tax
A course gets signed off. Then it needs fourteen language versions — and today that means re-recording voiceover, re-timing on-screen text, and re-exporting every deck by hand. Every source change reopens all of them.
How it works
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A course is defined once as structured data — script, storyboard, on-screen text, voiceover, timing.
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Media is generated from that definition — voiceover and on-screen text, per language.
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Change the source once and every language regenerates. No fourteen hand rebuilds.
What it does not do
What gets automated is the linear media layer and its localisation — voiceover, on-screen text, the language versions. The interactive layer — branching, assessments, scoring — stays in your authoring tool, where it belongs. The system hands your team localised media ready to drop into Articulate or Storyline; the interactivity, the assessments, and the SCORM packaging all stay on their side. It never pretends to output a finished course.
Who builds it
Built at RTL: sole architect, in seven months, of a video-intelligence platform that reads emotion, speech and narrative and predicts audiences. This site is the other half of the proof — taste is part of the engineering.
Grgur Damiani — an artist's eye, an engineer's hands. The person who maps the workflow is the person who builds it, so nothing is lost in handoffs.
Start a project
Tell me what your localisation pipeline looks like today. One person answers — the one who builds.