Solutions / Video Data for Generative AI

Training & evaluation data for generative video models

Video planned for continuity, motion and controlled visual variation.

We produce footage the way your model needs to see the world — with controlled camera, lighting, motion and scene changes, plus edit trajectories and 3D/VFX data built on top of it.

What we produce

Every dataset is designed around your model's requirements and delivered with metadata, QA and rights in place.

Data

  1. 01

    Continuity & motion

    Shots designed around consistent subjects, physics and camera movement.

  2. 02

    Controlled variation

    The same scene repeated across lighting, lens, angle and environment.

  3. 03

    Multi-view video

    Several synchronized cameras recording one action for 3D-aware models.

  4. 04

    Edit trajectories

    Source clips, instructions, editing steps and results for video editing models.

  5. 05

    Evaluation sets

    Held-out shots and prompts built to measure specific model behaviors.

  6. 06

    Camera & scene metadata

    Lens, movement, lighting and scene descriptions delivered with every clip.

How we produce it

  1. 07

    Shot design

    Variation plans and shot lists derived from your training or eval goals.

  2. 08

    Controlled production

    Cast, locations, lighting and camera crews working to the dataset spec.

  3. 09

    3D, graphics & VFX

    Standalone or integrated 3D, graphics and VFX production for AI data projects.

  4. 10

    Rights-ready delivery

    Releases, licensing, captions and metadata packaged in your format.

Our process

  1. 01

    Requirements

    Define the model task, target behaviors, constraints and success criteria.

  2. 02

    Specification

    Translate project requirements into scenarios, capture parameters, metadata structure, deliverables and QA criteria.

  3. 03

    Pilot

    Produce a small sample batch, review it with your team, and lock the spec before scaling up.

  4. 04

    Production

    Produce, collect or source the data with the required metadata, rights and releases in place.

  5. 05

    QA

    Review samples, fix inconsistencies, and validate metadata, structure and annotations where required.

  6. 06

    Delivery

    Hand over a clean, documented, rights-ready dataset in your preferred format.

  7. 07

    Scale

    Grow volume, locations and variations on the same pipeline as your model needs more data.

Why Kvet

  1. Built around your requirements

    Every project is built around the specific data, environments, actions and capture conditions required.

  2. Production-first

    We organize the participants, environments, interactions and capture setups required to produce data that does not already exist.

  3. Multiple production models

    Controlled production, distributed collection and content sourcing can be used independently or combined within one project.

  4. 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.

  5. From pilot to scale

    Validate the approach with a focused pilot, then scale across participants, locations and countries.

  6. Structured delivery

    Rights, releases, metadata, QA and technical requirements are integrated into the production pipeline.

Tell us what data your model needs.