AI Engineering for Marketing and Advertising

Generative content and personalisation with cost per asset and content checks measured on your own campaigns.

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Marketing teams bring us generative content tools that cost more per asset than planned, personalisation models nobody has evaluated against a holdout, and image or AR features that look good in a demo and fail on the real product catalogue.

Generated imagery on a screen
Graphics card with three cooling fans

How It Connects

Model choice lands in the LLM Selection Pack; cost per asset in the Inference Cost Cut Pack; generation pipelines in Generative AI. Product imagery for shops is covered under Retail.

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Marketing and Advertising AI FAQ

Which model gives acceptable copy at the lowest cost per asset?

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We generate a sample of your real briefs with each candidate, have your team grade the output blind, and price each model per finished asset, including the edits it still needs.

How do we check generated content before it goes out?

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With checks built for your brand: claims that need a source, terms you never use, and images that misrepresent the product. We set them up as an automated pass before a person signs off.