Istanbul / Controlled generative video

AI video
production.

We use generative tools within a production process that includes art direction, editing, sound and human quality control.

Node-based AI video-production workflow
AI VIDEO PRODUCTION Previs · Generation · Composite · QC
Selected video-production project frame
Selected video-production project frame
Selected video-production project frame
Selected video-production project frame
Selected video-production project frame
TR + EUProduction network
16:9 / 9:16Multiple formats
ONE TEAMEnd-to-end process
Selected brands
Concept•Previs•Generated shots•Hybrid•Cleanup•Concept•Previs•Generated shots•Hybrid•Cleanup•
Node-based AI video-production workflow
AI Video Production / Production approach
01 / Production approach

Use AI at the right production stage.

Generative AI can help develop concepts, previsualise a scene, test visual direction or create a short environment that would be difficult to build physically. It is not automatically the safest option where precise product form, sustained dialogue performance, sensitive likenesses or real-location evidence are required.

In a hybrid workflow, live action can secure a performance or product while AI supports backgrounds, transitions or selected layers. Generated shots are selected, refined, composited, checked for continuity and finished with colour and sound before release.

01 Concept, storyboard and previs
02 Image-to-video and hybrid filming
03 Compositing, clean-up and QC
04 End-to-end production
First production decision

When is AI video the right method?

AI is considered alongside live action and 3D, not as the default answer to every brief.

01

Where it can help

Concept exploration, previs, short transformations and difficult environments can benefit from controlled generation.

02

Where another method is safer

Precise product form, long performance, sensitive likenesses and real-location proof can require live action or 3D.

03

What defines a usable brief

Visual references, product or character assets, rights, release context and acceptance criteria should be clear before producing shots.

AI Video Production — Concept and AI previs production area 01

Concept and AI previs

Moodframes, storyboards, animatics and moving previsualisation used to compare creative directions.

IdeaScriptShoot
AI Video Production — Generated shots production area 02

Generated shots

Text-to-video and image-to-video shots developed from an approved visual direction and references.

CompanyPeopleStory
AI Video Production — Hybrid environments production area 03

Hybrid environments

Generated backgrounds, atmosphere and extensions that support approved live-action, product or character material.

ProductDemoE-commerce
AI Video Production — Compositing and clean-up production area 04

Compositing and clean-up

Tracking, masking, artefact clean-up, upscaling and finishing that make selected shots work together.

FactoryB2BProduction
AI Video Production — Edit, colour and sound production area 05

Edit, colour and sound

Editing, sound design, mix, colour finishing and agreed release formats.

EventLaunchSummary
04 / Deliverables

AI-video production scope

The method is selected around control, consistency and rights requirements within the brief.

Core delivery package

Which deliverables can come from one film?

We define where the work will be used, the required formats and the delivery schedule from the start.

Concept and AI previs Concept
Generated shots Previs
Hybrid environments Generated shots
Compositing and clean-up Hybrid
Edit, colour and sound Cleanup
One shoot / Multiple deliverables

From one film,
prepare the right files for each use.

We plan the main film, short versions, vertical video and release files together at the start of the project.

Share your brief →
Video production team reviewing a project
06 / Process

How AI-video production moves forward

// From the brief to delivery files, work with one team.

Creative boundaries, references and acceptance criteria are set before generating a volume of material.

STEP 01
Brief / goal / scope

Suitability and risk review

The idea is assessed against live action, 3D and hybrid options, including product, likeness, rights and platform needs.

STEP 02
Script / crew / plan

Storyboard and tests

A visual reference set is prepared and difficult scenes are tested before moving into full production.

STEP 03
Shoot / direction / capture

Shot production and compositing

Selected generated outputs are refined and joined with approved footage or assets through compositing.

STEP 04
Edit / versions / delivery

Human QC and finishing

Anatomy, physics, product, logo, flicker and continuity are checked before edit, colour, sound and delivery.

07 / Production principle
Video production team reviewing the shoot and post-production process One team / Clear approvals / Multiple deliverables

A well-prepared plan creates a calm pace on set and an orderly process without surprises in the final delivery.

Production principle Clear scope / Visible decisions / Orderly delivery
08 / Industries & fit

Teams this service is right for

These are the working models that most often need this service. The scope becomes clear as the project goal and use case are defined.

01

Concept and campaign teams

Teams comparing visual directions or reviewing a moving previs before committing to production.

02

Controlled experimental films

Projects where a short generated environment, transformation or visual treatment is part of the idea.

03

Hybrid product and brand stories

Projects that retain a real product or performance while using generated layers selectively.

04

Istanbul & Turkey projects

Productions planned from Istanbul, with the crew, location and delivery plan defined around the project where required.

09 / FAQ

Questions before starting.

01Is every AI film fully generated?

No. The right method can be generated, live-action supported, 3D or hybrid depending on the brief.

02How is product consistency handled?

Approved product references are compared shot by shot; generated inconsistencies are reworked or corrected through compositing.

03Why does AI video need post-production?

Generated shots can contain flicker, edge errors, inconsistent product detail or resolution issues that need clean-up, edit and finishing.

Let’s discuss what
your video needs.

Share your goal, where the video will be used and the timing. We can clarify the right scope and next step together.