Video & Film Production
What this is
We apply AI across the video pipeline — transcript-driven editing, automated captioning and translation, voice synthesis, upscaling, rotoscoping, background removal and generative elements — inside a conventional, directed production process.
The parts of video work that are slow and mechanical — logging, transcribing, subtitling, cleaning up, versioning — are where these tools genuinely earn their place. The parts requiring taste still need people, and pretending otherwise produces the flat output everyone recognises.
Versioning, localisation and reformatting stop being the expensive part of a campaign.
Concepts and treatments can be explored visually before committing production budget.
Where synthetic voice or likeness is used, we agree consent and labelling with you upfront.
Use cases
Localising a campaign into many languages affordably
Producing large volumes of social versions from one shoot
Restoring or upscaling an older footage library
Visualising a concept before committing to a shoot
What this is
Relevant work
How it runs
Which parts of the pipeline are mechanical enough to accelerate safely.
Concept, script and art direction handled conventionally, by people.
AI applied to logging, versioning, localisation and clean-up.
Human grade, sound and quality control before anything is delivered.
What it should achieve
More finished assets from the same production budget
Localisation that is no longer cost-prohibitive
Faster turnaround on versioning and subtitling
Older footage brought back into use
Related capabilities
Questions
Not in the way people mean by that. We use these tools inside a real production — for clean-up, versioning and localisation — rather than to generate finished films from a prompt.
Scopus assistant
Simulated — scripted, not a live model
