AI & Video Production
Broadcast-level video output at a startup's pace.
02.1 / Service
AI & Video Production
In short
What is AI and video production?
AI and video production is video made by people, with AI speeding up editing, versions and localization. We plan the stories and formats, write scripts and storyboards, shoot and direct, and cut platform versions with subtitles. You get the master edit, 9:16 and 1:1 cutdowns, subtitle files and the footage library.
The problem
The problem this solves
Producing useful video regularly takes planning, time and a clear budget. Without a defined purpose for each format, teams can struggle to publish consistently or judge whether the material supports their goals.
Method
How we work
Direction stays human: ideas, scripts and the final cut are made and approved by people. AI accelerates the middle: rough cuts, subtitles, versioning into 9:16/1:1/16:9, translations, which is how one shoot becomes a month of channel-ready material without a broadcast budget.
When it fits
When this is the right call
You shot a brand film last year and it is still the only video on your site, because every new piece means a new production budget.
Your channels want vertical clips every week, but each cut waits on one editor who is booked for the next three weeks.
You have folders of raw footage from events and interviews that nobody has time to log, let alone edit.
Your product needs demos in two languages, and subtitling them by hand takes longer than the shoot did.
02.1 / In one line
Idea-to-cut video, AI-assisted pipeline
Scope
What's included
Video strategy: which stories, which formats, which channels
Ideas, scriptwriting and storyboarding
Shooting and directing: studio, location or remote capture
AI-assisted editing, versioning and localization pipeline
Motion design, subtitles and platform-specific cuts
Performance review per video format
Scope shown is indicative: the final scope is agreed with you before work starts.
Deliverables
What you receive
Format map and shot list
Ties each planned video to its channel, length and funnel job, and lists the shots one production day must capture.
Scripts and storyboards
Approved scripts with timing notes and frame boards, so the shoot has no open questions and the edit has a reference.
Master edit
The hero cut in 16:9, color graded and sound mixed, delivered as a mezzanine file you can reuse for years.
9:16 and 1:1 cutdown set
Platform versions of every story: reframed, recaptioned and trimmed to the length each feed rewards, named by channel and date.
Subtitle and localization files
Timed SRT files in both languages, checked by a person, plus burned-in versions for feeds that autoplay on mute.
Footage library and project files
Organized raw material, selects and the working edit project, so any future editor can continue without starting from zero.
Process
01 / 04
Plan
Formats and stories chosen by their job in the funnel, not by trend.
02 / 04
Shoot
One efficient production day is planned to feed multiple formats.
03 / 04
Cut and multiply
AI-assisted editing turns raw material into channel-specific versions fast.
04 / 04
Measure
Watch time and completion per format decide what gets produced next.
Timeline
A first engagement, step by step
Week 1
We agree stories, channels and lengths, write scripts and boards, and book the production day. You approve every script before anything is shot.
Week 2
The shoot: one planned day, directed to feed every format on the map. You see the selects within days, not weeks.
Weeks 3-4
AI-assisted rough cuts, subtitles and versioning run in the background; an editor reviews every frame. You receive the master and cutdown set for approval.
Month 2
The first batch publishes on a schedule. We read watch time per format and let it choose the second shoot's stories.
Measurement
What we measure
Completion rate per format
How much of each video people actually watch. Views count autoplay; completion tells us whether the story held.
Three-second hook retention
The share of viewers still there after the opening. It decides how the next batch of clips is cut.
Cost per finished minute
Total production effort divided by usable output. This shows whether the pipeline is paying off.
Pieces per shoot day
How many publishable videos each production day yields, assessed against the agreed brief and production budget.
Proof
Evidence, not adjectives
FAQ
Frequently asked questions
Is the video actually AI-generated?
The pipeline is AI-assisted, not AI-generated: real footage, real people, human direction and final approval. AI speeds up editing, versioning and localization. Fully synthetic footage is used only when clearly appropriate and disclosed.
What does a typical production cycle look like?
A monthly cycle usually covers one shoot day and a set of agreed deliverables: for example one hero video plus a batch of short-form cuts. Exact volumes are fixed in the scope.
Can you work with footage I already have?
Yes, re-editing, versioning and refreshing existing material is often the fastest first win before planning new shoots.
Is this a retainer or a one-off project?
Both exist. A project covers one shoot and its deliverables; a retainer covers a monthly cycle with a fixed volume of cuts. Price moves with shoot days, locations, on-screen talent and the number of versions, not with video length.
What do I need to provide before the first shoot?
Access to the people on camera, the locations, your brand system and any product to be shown. If you have a message hierarchy we script against it; if not, week one builds one.
Can I just generate clips with an AI video tool myself?
For some background visuals, yes. A tool cannot decide what to say, direct a real person, or notice that a cut misrepresents the product. That judgment is what you pay for.
Where to next
Keep going
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