AI Video Production for Brands

What is AI video production for brands?

AI video production uses frontier image and video models, combined with our own workflow and human creative direction, to produce finished brand video without a traditional set, crew or camera day. A creative director briefs the concept, casts the look, approves keyframes and signs off the edit. The frames and motion are generated, but every decision that shapes the finished video is made by a person who understands the brand.

It sits between a fully manual production and a self-serve generation app. A self-serve tool hands you raw clips with no direction and no quality check, and you carry the risk of an off-brand result. Our pipeline keeps a director on script, casting, motion, pacing and colour at every stage, so brand tone and product accuracy survive from first draft to final delivery. Nothing ships without a person checking it against the brief.

The output is a finished, edited video file ready to run, not a raw clip you have to cut yourself. That includes colour grading, pacing, music or sound design where relevant, and captions burned in for platforms where sound-off viewing is the norm.

What do we produce?

Product videos. Short demo and hero clips that show a product in use, in motion, or in a styled scene, built from your own reference photography. Useful for a product listing, a landing page or a paid ad that needs to show the item working rather than just sitting still. See AI product video and UGC ads for formats and process.

UGC-style ads. Creator-style spots for TikTok, Reels and Meta, built around a hook, a product-in-hand moment and a call to action, with an AI presenter standing in for a human creator. These are cut in multiple short variants so you can test which hook and pacing perform before committing media spend to one version.

Fashion films. Campaign and lookbook motion built from the same garments and model identity used in your still photoshoot, covered in full on AI fashion film. Motion and stills come from one production, so a campaign looks consistent across a landing page, a feed post and a paid video ad.

AI presenter and spokesperson videos. Brief the script, audience, language and presenter direction for an explainer or campaign. Approve a representative voice and appearance before production. Reusing an approved presenter can support a series, subject to provider availability, use rights and likeness consent.

Brand films. Longer-form pieces that combine several of the above into one story, for a homepage, a pitch deck or a launch. These carry more scenes and a longer script, so they are scoped individually rather than treated as a standard social spot.

Localised versions. An approved video may be adapted with a selected voice and captions for another market without reshooting the visuals. The brief confirms language availability, script review, usage rights and any visual changes needed for that audience.

How does a remote AI video project work?

The process runs in five steps, and it works the same way whether you are three time zones away or ten.

1. Brief. You send the goal, the platform, the length, any script or hook ideas, and reference footage or product photography.
2. Script and hook. We write or refine the script, including the opening hook that has to work in the first two seconds of a social feed.
3. Keyframes for approval. Before any motion is generated, we produce still keyframes for every key shot so you can approve look, casting and product accuracy up front.
4. Generation and edit. Approved keyframes go into motion, are graded, cut to length, scored and captioned.
5. Delivery. The brief defines runtime, shots, formats, voice, language and review rounds. Agree treatment, keyframe, first-cut and final milestones separately; each depends on approved inputs and correction scope.

Keyframe approval gives the team a visual reference before motion production and can reduce avoidable rework. Motion, voice and edit checks still need their own review. Remote teams agree time-zone handovers, working-day cut-offs and consolidated feedback; neither still-image approval nor an evening brief guarantees next-morning delivery.

Nothing goes to final generation without sign-off, and the brief sets out how many revision rounds are included so there are no surprises on either side.

Which markets and platforms do we serve?

We produce for brands in the US, UK, EU, Australia and Asia, and we cut for the platform you are actually running on: TikTok, Instagram Reels, YouTube Shorts, Meta feed and Stories ads, YouTube pre-roll, and Amazon video listings. Aspect ratio, caption style and pacing are set for the platform first, then the market.

Platform rules on AI-generated content are tightening and differ by platform. Meta applies AI information labels to qualifying AI-generated or significantly AI-edited ads, with treatment depending on the content and available signals. TikTok requires creators to label realistic AI-generated content, and its advertising policies require disclosure of fully AI-generated or significantly AI-edited content. It began rolling out automatic labels based on attached C2PA Content Credentials in May 2024. In the EU, Article 50 of the AI Act brings in a general duty to label deepfake-style content from 2 August 2026. We build to whichever disclosure requirement applies to your account, platform and market at the time of posting, and flag it in the brief rather than leaving it for you to discover after launch.

Format specs also differ by market: US and UK brands typically run the same social formats with different casting and voice, while Amazon video listings in either market follow the marketplace's own aspect ratio and content rules rather than a general social spec.

How is AI video priced?

AI video is quoted per project rather than sold at a fixed per-clip rate, because the variables move the cost more than the format does. A quote depends on: the number of variants (one hook cut five ways costs more than one finished video), the number of languages, whether a licensed presenter or avatar is required, the length and complexity of the script, and the number of revision rounds agreed in the brief. Ask for a quote once you know roughly how many assets and languages you need; we will tell you what drives the number up or down before you commit.

As a rough guide, a single short social spot in one language with a handful of hook variants sits at the lower end of a quote; a multi-scene brand film, or the same spot localised into several languages with a licensed presenter, sits higher. Because keyframes are approved before generation, you see the shape of the cost before the expensive part of the work happens.

What still needs a camera?

AI video is not a replacement for everything. Live events, documentary-style behind-the-scenes footage, and testimonials from real, identifiable customers still need a camera and a real person in front of it. Anything that depends on proving a specific human being said or did something in a specific place, at a specific time, is a job for traditional filming, not generation. We will tell you honestly when that is the case rather than force-fitting the brief into an AI pipeline.

The same applies to regulated claims that require a verifiable, named source, and to any moment where the point of the footage is that it is unstaged. AI video is strongest where the message matters more than the proof of who is on screen: product demonstrations, styled fashion motion, explainer scripts and ads built around a hook rather than a witness.

How does AI video compare with traditional production?

Neither approach is universally better. The right call depends on whether the video needs to prove something happened, or needs to say and show something clearly and consistently across markets. See the video portfolio for finished examples: video portfolio.

Frequently asked questions