AI Video

AI video production for the brands moving fastest.

Generative AI video creative — UGC-style ads, brand spots, product demos, platform-native ratios — produced in hours instead of weeks.

Video used to mean a shoot, an agency, and a six-week timeline. With AI you brief a concept and ship variants the same day. We run that pipeline end-to-end — script, storyboard, generate, edit, ship — so your test cycle on video matches your test cycle on static.

All services

How it runs

The agent sits between your signals and your actions.

Brief → Live cut, ~24 hours
arthat / video-pipeline
  1. 01

    Brief & voice

    Brand voice, product specs, target audience, and the test variables we want to learn from this drop.

    Stack:NotionNotion
  2. 02

    Concept board

    AI proposes 6–10 concepts with mood, script, scene-by-scene breakdown. You greenlight which ones to render.

    Stack:ClaudeClaudeOpenAIOpenAI
  3. 03

    Generate footage

    Talent, product-in-scene, b-roll generated by Sora / Veo / Runway / Pika. We pick per-shot whichever model performs best.

    Stack:MidjourneyMidjourney
  4. 04

    Edit & finish

    Cuts assembled per platform ratio. Voiceover, captions, music, brand bumper — all synced from one master.

    Stack:ElevenLabsElevenLabs
  5. 05

    Ship & measure

    Cuts deployed to ad accounts. Performance data flows back into next week's concept board.

    Stack:DriveDrive

How we work

Four phases. Nothing hidden.

1. Brief & voice

We capture your brand voice, products, target audiences, and the scenarios you want to test.

2. Concept board

AI proposes 6–10 concepts with mood + script + scene breakdown. You approve the ones to ship.

3. Generate & edit

Concepts become finished videos in hours — talent, product placement, voiceover, captions, platform ratios.

4. Ship & learn

Cuts go live; performance data feeds the next week's concept board automatically.

What we automate

Here’s what usually lives inside an engagement.

  • Script + storyboard generation from your brief
  • AI-generated talent (UGC-style creators) on demand
  • Product-in-scene video — the model wears, holds, demos your product
  • Platform-native ratios (9:16, 1:1, 16:9) cut from one master
  • Voiceover synthesis + auto-subtitled multi-language exports
  • Weekly creative drops tuned to last week's performance signals

Typical outcomes

What this changes

Live in production
0–20×

More video variants per month

Live in production
< 24h

Median brief → shippable cut

Live in production
0+

Languages auto-localised per cut

Live in production
Weekly

Creative drops tuned to last week's data

Audience

Who this is for

DTC brands testing video at scale

Your last 12 video ads took 3 months and felt like a single bet — you can't tell what worked.

Performance creatives shipping for paid

You need 5–10 fresh hooks a week and a shoot is too slow.

Founders launching product lines

Six SKUs, six product videos — you'd rather not hire a film crew six times.

Tool stack

Built on the tools you already use

We build on the tools your team already uses — no rip-and-replace.

OpenAIOpenAI
AnthropicAnthropic
MidjourneyMidjourney
Google DriveGoogle Drive
NotionNotion

Comparison

How we're different

Criterion
DIY / In-house
No-code tools
Arthat agents
AI talent + product-in-scene generation
Same-day brief → finished cut
Platform-native ratios from one master
Multi-language without re-shooting
Concepts driven by ad-account performance data

FAQ

Questions we get a lot

Stop running marketing the slow way.

Book a 30-minute discovery call. We’ll walk through what you’re trying to grow, what the AI playbook would look like for it, and what the engagement would cost — honestly.

See our work first