Creative and Media AI
Generative production for brands that have to answer for what they publish. Seven engagements across image, video, voice, audio, avatars and 3D — with rights, consent and disclosure settled before anything is produced.
The output is the easy part.
Generating something impressive takes an afternoon. Generating four hundred assets that are consistently on-brand, accurate about your product, cleared for commercial use in every territory you operate in, and defensible if someone asks where they came from — that is the work, and almost none of it involves the model.
So every engagement here starts with rights, consent and disclosure rather than ending with them. We check what a tool was trained on and what it indemnifies, we obtain documented consent before building a voice or a likeness, we record provenance on every asset, and we build content marking into the pipeline rather than leaving it as a manual step someone skips under deadline.
What we build
Each is a standalone engagement with its own scope, price and output. Most clients use two or three in sequence.
AI Image and Brand Asset Generation
A documented visual system, rights cleared before production, and provenance recorded on every asset.
Read more →AI Video Generation and Editing
Editing, versioning and localisation at scale, plus short generated sequences with honest limits stated.
Read more →AI Voice Cloning and Dubbing
Synthetic voice and dubbing on documented, revocable consent — with verification, watermarking and a refusal list.
Read more →AI Music and Audio Production
Generated music and production audio with training provenance checked and clearance documented.
Read more →Digital Humans and AI Avatars
Presenters and avatars on documented likeness consent, always disclosed, with the uncanny valley taken seriously.
Read more →3D and Synthetic Media Generation
AI-assisted 3D assets with production-ready topology, and synthetic training data with domain gap measured.
Read more →AI-Assisted Design Systems
Machine-readable tokens and documented intent, so generation respects the system instead of inventing around it.
Read more →How they fit together
You do not need all twelve. Most programmes follow one of these paths depending on where the uncertainty sits.
Image and design
Brand asset generation built on a documented visual system, and AI-assisted design systems that generative tools can actually compose from.
Video and motion
Video generation and editing, where most of the value is in versioning and localisation rather than generation, with the limits of generated footage stated plainly.
Voice and audio
Voice cloning and dubbing on a consent framework that would survive scrutiny, and music and audio production with the licensing question answered first.
People and dimensional media
Digital humans and avatars, always disclosed and only with documented likeness consent, and 3D and synthetic media for visualisation or for training vision models.
FAQ
Marked up with FAQPage schema so these answers can surface in search results and inside AI assistant responses.
Can we use AI-generated content commercially?
Usually, and it depends on the tool's licence terms, the rights you hold in any input material, and the disclosure rules in your markets. Copyright in purely generated output is unsettled in several jurisdictions, so we document provenance on every asset and take the position with your counsel rather than asserting one. We are not lawyers.
Will you clone a voice or likeness?
Only with that person's informed, specific, documented consent — including named prohibited uses and a revocation process that works. That applies to public figures and to people who are no longer living, absent an estate's documented permission. Public availability of recordings or images is not consent.
What will you refuse to make?
Content depicting a real identifiable person saying or doing something they did not. Generated imagery or footage presented as authentic photography or documentary of real events. Fabricated testimonials, reviews or endorsements. Work whose purpose is to imitate a named living artist. Anything designed to defeat voice or identity verification. These are declined whatever the stated purpose or timeline.
Do we have to label AI-generated content?
In many contexts yes, and it is good practice everywhere. Platform policies require it and the EU AI Act imposes duties to mark AI-generated content. We build marking into the production pipeline rather than leaving it as a manual step, because manual steps get skipped under deadline. See EU AI Act compliance.
Where does generative AI genuinely save time in production?
Less in headline generation and more in the volume work around it — versioning, localisation, format adaptation, restoration and making large libraries searchable. Most clients arrive asking about generation and get the bulk of their value from the production pipeline. We will tell you which half your brief actually sits in.
Start with a conversation.
Thirty minutes, no charge, no deck. Tell us what you are trying to build with language models and we will tell you which of these engagements fits, or whether none of them do.