Solutions / Custom Data Collection

Custom data collection at scale

One dataset specification, run across contributors, teams and countries.

We combine distributed contributors, controlled production and content licensing to collect the data your model needs — with rights, metadata and QA built into the pipeline.

What we produce

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

Data

  1. 01

    Distributed contributors

    People collecting data in their own homes, cities and workplaces.

  2. 02

    Controlled production

    Crews and studios for scenarios that need a set and a protocol.

  3. 03

    Global teams

    Local producers running the same spec across countries.

  4. 04

    Content licensing

    Existing content sourced and licensed when it is faster.

  5. 05

    Rights management

    Releases and usage terms that allow commercial training.

  6. 06

    Metadata & annotation

    Your schema applied consistently across every source.

How we scale it

  1. 07

    Pilot first

    A sample batch reviewed with your team before volume.

  2. 08

    Recruitment

    Contributors and performers selected for the diversity you need.

  3. 09

    Repeatable pipeline

    The same protocol, tools and checks in every location.

  4. 10

    QA & delivery

    Validation, documentation and delivery 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.