Generative content

The problem

Producing quality content in several languages is slow and expensive, and generative AI used without a method makes it worse: images with garbled lettering, translations that mangle technical terms and articles that claim things the source video never said. Publishing that does more harm to the brand than good.

How we work

We treat generation as an editorial production line, not a button. We always start from a trustworthy source —the manufacturer’s official video, the catalogue, the photos from the event— and every step leaves something that can be checked: extracted frames, a content analysis, edited images, final copy and translations. Anything we publish can be traced back to where it came from.

We keep what AI does well apart from what it doesn’t. Diffusion models produce superb backdrops, scenes and atmospheres, but they can’t spell, so the model creates the art and we set the type on top in your brand’s fonts. Translations are run against an industry glossary and repaired in batches whenever something falls short.

Images and voice are generated on our own infrastructure, so output volume isn’t capped by someone else’s subscription tier. For copy, we pick the right model for each job —local or commercial— and agree it with you before we start, especially when the source material is confidential.

What’s included

• Style, templates and quality criteria agreed with your team.
• A production pipeline built around your sources: video, catalogue or photography.
• Direct publishing to your store, blog or social channels, or file delivery.
• Translation into the languages you need.
• Human review before anything goes live, and batch fixes when something slips.