Capability03.06Systems
Generative AI
Image, video and language engines that follow your rules: on brand, reviewable, repeatable.
Generative AI models are fast and inconsistent. Pipelines make them dependable: guidelines turned into constraints, fixed seeds and references, automatic checks, and a person who approves before anything is published. We build content systems that work at catalogue scale without drifting off brand.
Point to condition an area: it resolves first. Approve locks the seed.
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Includes
- Image and video generation pipelines
- Brand content systems built on approved guidelines
- Creative tooling for in-house teams
- Content engines with review and approval gates
- Localisation across markets
- Provenance and content credentials
Applications
- Catalogue-scale product imagery consistent with brand rules
- Localised campaign variants with human sign-off
- A video pipeline with approval at every step
Under the hood
- Diffusion with reference and structure conditioning
- Adapters trained on approved brand material
- Fixed seeds for reproducible output
- Automatic brand-rule checks before review
- Language models with terminology constraints
- C2PA content credentials
How we test it
Every pipeline runs against a review set approved by your brand team. Outputs are checked automatically for guideline breaches, we track how often a person accepts, edits or rejects, and every seed and parameter is kept so any approved result can be reproduced exactly.
Have something like this in mind?
Bring the problem in its messiest form. Measuring it is our job. We’ll tell you honestly whether AI is the right way to solve it.
