Custom data production, built around your model.

Scenario development, recruiting, environment builds, capture, licensing, QC, and delivery — all in China, all to your spec.

Scope a pilot
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The data your model needs next doesn't exist yet.

We don't sell a warehouse of stale data. We produce what your model is missing.

We build the supply chain that produces it

Requirements → paid pilot → scaled production. Priced per trajectory, per valid hour, per accepted task, or per environment.

We bridge the gap between your model's needs & China's data supply

One counterparty on your contract; behind it, a local network of studios, operators, recruiters, and engineers producing to a single schema and quality bar.

WE HANDLE
SOURCINGLICENSINGRECRUITINGENVIRONMENTSCAPTUREQC & DELIVERY

Scoping a pilot around your model’s weakest task

Static data, offline RL, or online RL: choosing the right deliverable

From 200 trajectories to production: how pilots scale into standing supply

RGB, depth, state, or semantic actions: nailing the schema first

Pricing models: per trajectory, per valid hour, per accepted task

WORLD MODELS
GAME AGENTS
COMPUTER USE
EMBODIED AI
RL RESEARCH
SPEECH & NLP

Built for the labs training tomorrow's agents, world models, and robots.

What a paid pilot delivers.

PILOT TASKS

50

tasks per paid pilot (20–50), designed around your model's weakest capability.

TRAJECTORIES

200

trajectories per pilot (50–200), delivered against an agreed schema.

RIGHTS-CLEARED

100%

of delivered data ships with a documented license chain and quality report.

SIGNALS

6+

synchronized streams per trajectory: video, inputs, state, task, result, failure reason.

PILOT TIMELINE

4 weeks

typical time from scoping call to pilot delivery with samples and schema.

WHO WE PRODUCE FOR

Tell us the task your model keeps failing. We design the tasks, recruit the operators, build or license the environment, and deliver verified trajectories.

For World Model Labs

GAME & SIM DATA

The data race is on.

Everyone is scaling compute. Trajectories are the bottleneck.

Explore Data Products

Web text is exhausted. The next capability gains come from data that records actions and their consequences — and the labs that lock in supply first hold an advantage that is hard to copy.

Three Capabilities.One Supply Chain.

Local sourcing & rights

We negotiate directly with Chinese studios and contributors — rights diligence, AI-training licenses, and recruiting handled locally, in Mandarin, at local cost.

Engineering integration

Engine hooks, capture rigs, and environment builds — we do the integration work so trajectories arrive synchronized and schema-complete.

Verification & QC

Task design, automatic result verification, and human QC — every batch is validated before it ships, and priced only when it passes acceptance.

One pipeline from scoping call to delivery

Draft · var1YAML / GraphTree ▾
Publish Variant
</> define_task
</> capture_trajectory
</> verify_result
</> deliver_batch

Step 1–2: Scope & pilot

We confirm what you need — static data or interactive environments, SL, offline or online RL, which signals, which actions — then run a paid pilot of 20–50 tasks with samples, a schema, and a quality & licensing report.

Step 3: Scale production

Once the pilot passes acceptance, production runs on standing infrastructure — priced per trajectory, valid hour, accepted task, or environment, plus development and licensing fees.

Built to Be Audited.

Training data is only as good as its provenance. Every delivery documents where the data came from, who authorized it, and how quality was verified — so your legal team signs off as fast as your research team does.

EVERY DELIVERY INCLUDES
LICENSE CHAINDATA SCHEMAQUALITY REPORT

Licensing & Provenance

Every dataset ships with a documented license chain: who owns the game, who consented to capture, and what the AI-training grant covers.

Verified Quality

Automatic result verification plus human QC on every batch. You pay per accepted task, per valid hour, or per trajectory — not per attempt.

Flexible Deliverables

Static datasets, task generators, or executable RL environments — RGB, depth, state, raw or semantic actions, in whatever schema your stack expects.

Tell us your model's weakest task.

Start a paid pilot