Solutions / Creative Workflow Data
Creative workflow & edit trajectory datasets
Not just the result — every step between the source and the final output.
Datasets that capture the creative process from source assets and instructions through editing actions, project data, intermediate versions, metadata and final outputs.
- Source assets
- Brief / instruction
- Editing actions
- Project data
- Intermediate versions
- Metadata
- Final output
What we produce
Every dataset is designed around your model's requirements and delivered with metadata, QA and rights in place.
Data
- 01
Edit trajectories
Source assets, brief, editing actions, project data, intermediate versions and the final output.
- 02
Editing & transformation pairs
One data type within a trajectory: source → instruction → result.
- 03
Cleanup & retouch
Object removal, restoration and detail correction.
- 04
Compositing
Subjects and objects added to scenes with matching light and perspective.
- 05
Relighting
The same scene captured or rendered under different lighting.
- 06
Object & background changes
Swaps, replacements and attribute edits with exact before / after.
How we produce it
- 07
Paired capture
Before and after shot on set, so the ground truth is real.
- 08
3D, graphics & VFX
Standalone or integrated 3D, graphics and VFX production for AI data projects: 3D assets, animation, graphics, compositing, cleanup, VFX and controlled visual variations.
- 09
Instruction writing
Edit instructions written in the style your model will receive.
- 10
QA
Every pair checked for alignment, artifacts and instruction match.
Our process
- 01
Requirements
Define the model task, target behaviors, constraints and success criteria.
- 02
Specification
Translate project requirements into scenarios, capture parameters, metadata structure, deliverables and QA criteria.
- 03
Pilot
Produce a small sample batch, review it with your team, and lock the spec before scaling up.
- 04
Production
Produce, collect or source the data with the required metadata, rights and releases in place.
- 05
QA
Review samples, fix inconsistencies, and validate metadata, structure and annotations where required.
- 06
Delivery
Hand over a clean, documented, rights-ready dataset in your preferred format.
- 07
Scale
Grow volume, locations and variations on the same pipeline as your model needs more data.
Why Kvet
Built around your requirements
Every project is built around the specific data, environments, actions and capture conditions required.
Production-first
We organize the participants, environments, interactions and capture setups required to produce data that does not already exist.
Multiple production models
Controlled production, distributed collection and content sourcing can be used independently or combined within one project.
Visual and technical depth
Image and video production, egocentric and multi-camera capture, RGB-D, creative workflows, 3D, VFX and multimodal data within one production ecosystem.
From pilot to scale
Validate the approach with a focused pilot, then scale across participants, locations and countries.
Structured delivery
Rights, releases, metadata, QA and technical requirements are integrated into the production pipeline.
