Case study · AI · Digital humans
Brand-safe presenters, produced at volume.
Short-form social demands a volume of on-camera output that no schedule survives. Avatar Architect turns a script into a presented video with a consistent, voice-cloned presenter — the same face and the same voice, every time, without a shoot day.
The system, in 51 seconds · Client: Content operator
Before and after
What changed.
Before
- Every piece of on-camera content needs a shoot
- Presenter availability sets the publishing calendar
- Voice and delivery drift between recording sessions
- Multi-language output means re-recording everything
- Volume capped by production capacity, not by demand
After
- Script in, presented video out
- One consistent presenter identity across every piece
- Voice cloned once, reused with the same delivery each run
- Additional languages without another recording session
- Output volume set by the content plan, not the calendar
What we built
The system, module
by module.
Voice cloning
A single presenter voice, reproduced consistently across every script.
Presenter identity
A stable on-screen presenter so the brand looks like itself in every clip.
Script-to-video pipeline
One route from written script to a finished, presented short-form video.
Brand-safe controls
Defined limits on what a presenter will say, enforced before render.
Multi-language delivery
Additional languages produced without a new recording session.
Short-form output
Framed and cut for vertical social from the start, not cropped afterwards.
How it is built
The engineering underneath.
Voice
Cloned voice model, held constant across renders
Video
Avatar generation pipeline driven from script
Controls
Pre-render brand-safety review on every script
Questions
About this
engagement.
If you are weighing something similar, ask us directly. We answer scoping questions before there is a contract in sight.
Talk to usWhat is Avatar Architect?
A production pipeline built by Ontilus that turns a written script into a short-form video presented by a consistent, voice-cloned AI presenter — the same face and voice on every piece, without a shoot.
How is it kept brand-safe?
Scripts pass defined content limits before anything renders. The presenter cannot ad-lib, so what is approved in text is exactly what is said on camera.
Is the presenter disclosed as AI?
That is the operator's call and their disclosure obligation, and we build for it: the pipeline supports on-screen and in-caption disclosure as a standard part of the output.
More work
Other systems
in the field.
Start here
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Proven before it scales.
We pilot on one entity and validate against your own reports before anything goes wider. See the full deployment approach →