# worldmodeldata

> The data layer for world models, vision-language-action (VLA) systems, and physical AI. We extract high-fidelity, action-conditioned gameplay data from AAA games (starting with Counter-Strike 2) and deliver it as training-ready datasets.

We build training data that scales beyond what real-world sensor collection can deliver: petabytes of frame-aligned video, telemetry, structured game state, and labeled actions, synchronized at 128 ticks-per-second engine time. Every frame carries 200+ structured properties — positions, velocities, hitboxes, audio sources, render queues — because world models need to learn coupled systems, not pixel sequences.

If you are a model builder searching for: training data for AI, world model datasets, VLA training data, action-conditioned video, synthetic gameplay corpora, physical AI datasets, CS2 telemetry datasets — this is for you.

## Pages

- [Home](/): The data layer for world models — overview and entry points.
- [Product](/product): Six synchronized data streams (video, telemetry, game state, temporal alignment, action annotation, custom environments).
- [Why Us](/why-us): Ground-truth 3D state, clean motion priors, frame-aligned actions, dense game state.
- [Data Depth](/data-depth): 200+ structured properties extracted per frame from Counter-Strike 2.
- [Pillars](/pillars): Volume, diversity, and quality — the three properties that decide whether data trains a frontier model.
- [Governance](/governance): License-compliant extraction, anonymized assets, verifiable lineage.
- [Pricing](/pricing): Two engagement models — Datasets and Agent Sandbox. Request a quote.

## Optional

- [Privacy](/privacy): How cookies and the AI assistant handle data.
- [Terms](/terms): Terms of use for this site and the AI sales assistant.
- Contact: Sales@worldmodeldata.com