EC · World-Model Data Engine
INTERNAL ONLY
Strategy synthesis · July 2026

Consented gameplay is becoming world-model fuel.
We can be the engine that directs it.

The position: Playroll is not a data brokerage and not a frontier lab. It is a data engine — a system that knows where world models are weak, sends players to fill exactly those gaps, proves the improvement with pre-registered benchmarks, and sells the measured result.

~150
searches, 6 research agents
22
claims adversarially verified
3
alignment reviews (docs · analytics · vault)
19
game EULAs audited verbatim
If you read nothing else

The 60-second version

1

The market just arrived

OpenAI reportedly offered $500M for Medal; the spin-out hit $2.3B. Marketplaces for game data raised seeds this month. Our thesis is validated — and the clock is running.

2

Direction is the moat

Everywhere it's been measured, directed collection beats passive volume (Microsoft: 1 curated week ≈ 7 passive years; Waymo: +31% from 3% targeted). Nobody has proven it for game world models. We will be first.

3

Rights decide everything

Our audit of all 19 titles: 0 green · 4 amber · 15 red. Selling footage is contractually barred nearly everywhere. So we sell measured improvements and services — and make publishers partners, not plaintiffs.

4

Trust is the product

Pre-registered benchmarks, frozen metrics, honest negatives. The whole commercial story reduces to “our numbers are real.” The first massaged threshold ends the business — protect this above all.

Why now

The market is months old — and moving

Nine months ago there was no market for action-aligned gameplay data. Now it is being entered from three directions at once: player fleets, publisher marketplaces, and input-reconstruction from free video.

Late 2024

OpenAI → Medal

Reported $500M acquisition offer for gameplay clips. Rejected.

Oct 2025

General Intuition

Medal spins out a lab: $133.7M seed → $2.3B Series A (Jun ’26).

May 2026

Origin Lab

$8M seed — publishers sell rights-cleared game data to labs.

Jul 2026

Worldmodeldata

£7M seed — the competitor David flagged. Targets 1M licensed hours.

Live now

Grunt Games

Genmo pays gamers for video + inputs, per-game bounties. Our recipe, replicated.

Our window: ~12–18 months of being the only supplier of consented, input-precise, directable sessions — before Medal reverses its no-raw-inputs stance or Overwolf bolts quests onto 113M users. The moat that survives after that is built from contracts, publisher partnerships, longitudinal player histories, and trust — not the capture client.

The engine

One loop, honestly graded

Every arrow is colored by how much evidence stands behind it today.

Consented fleet video + real inputs Curated data provenance-clean Leg A · Games revenue now Leg B · Robotics 3–5 yr option Eval & attribution where models fail gaps become learnability-weighted quests → the fleet fills them → repeat (unclaimed territory — we prove it or kill it for five figures)
Strong — measured, replicated, or verified verbatim Suggestive — measured elsewhere, not yet here The bet — nobody has closed this loop with a human fleet
Strong

Labels are the catalyst

2K labeled hours unlocked 70K scraped hours for OpenAI (35:1 leverage). Every playable world model ever built needed action labels. Ours are real, ms-aligned, cross-game.

Strong

Three-way convergence

Our external research, the team’s June strategy work, and David Klindt’s own proposal all landed on the same thesis independently: directed, benchmark-first, coverage-audited capture.

The bet

The founding experiment

Directed vs passive data, equal hours, pre-registered slices. Costs ~$8–20K per arm at pilot scale. A positive delta is our pricing evidence, pitch deck, and publication — in one number.

Three review passes later

What we believed → what we know

The plan was checked against every prior doc, 99 days of operational analytics, and the full vault. What survived, survived scrutiny. What didn’t is corrected below — in the docs, not just here.

We assumed

A whitelist of “green” titles exists for selling gameplay footage.

Reality

Zero green. Five publishers added explicit AI/TDM bans in 2024–26; five claim ownership of recordings outright. Amber set for internal R&D: Minecraft, BG3, Elden Ring. Everything else routes through partnership.

We assumed

Corpus-less world-model startups are the primary buyers.

Reality

Procurement happens at frontier labs and publisher AI programs. Our live threads: Roblox Foundation AI ($350–425K first-batch anchor), FACEIT, GDM (open to joint publisher licensing). Startups are pipeline, not plan.

We assumed

A fleet exists to collect hundreds of hours per experiment arm.

Reality

1–4 people record per day; ~100 gross hours ever. The POC (20–30h ≈ 3–4 operator-days) is sized right. Anything bigger is a funding decision, not a scheduling one.

We assumed

“Mic-only, never incoming voice” is a policy line.

Reality

The pipeline captures game-mixed voice chat today (and once caught a dev’s Discord). This is the one act-this-week item: quarantine existing game-audio tracks, ship isolation or track-drop, counsel review.

We assumed

The coverage system is new infrastructure to design.

Reality

The team designed its world-space half in June (realtime-spatial-coverage). Merged, not parallel-built — and made learnability-weighted per David’s “broken TV” caveat: reward what improves the model, not raw novelty.

Two legs, different clocks

Sell into games. Keep robotics as a cheap option.

Leg A · Now

Game creation & world models

  • Every playable neural engine needed action-aligned data — the exact thing we capture.
  • Demand is priced: Medal/$500M, GI/$2.3B, real Roblox purchase orders.
  • Products in order: directed-collection-as-a-service → action-inference model → studio playtesting agents. Footage resale deliberately last, partnership-only.
Leg B · 3–5 years

Robotics & embodied AI

  • No major robot model trains on game footage today — one thin datapoint exists (D2E, mostly simulation).
  • The mechanism is real (game-trained Genie 3 now powers Waymo’s simulator) but unproven for our data.
  • Cost of the option: title-selection bias only. Re-enter on evidence, not narrative.
The direction

Prove small, sell the proof, then scale

Gates, not dates. Each phase earns the next.

Phase 0

Foundations

18+ verification · consent scopes for AI/sale · title tiers · provenance ledger · audio fix.

Gate: every hour collected is sellable
Track A0

The Klindt POC

Minecraft, ~20–30h, pre-registered dynamics probes (persistence, permanence, inventory… + geometry). Fine-tune, measure, return to David with data and his asked-for format.

Gate: one probe demonstrably fixed
Track A

Founding experiment

Directed vs passive at equal hours. Pilot 50h/arm is feasible now; full scale is a funded operator program.

Gate: a delta worth showing a buyer
Phase 2

First revenue

One lab/publisher-AI contract (Roblox/FACEIT/GDM threads first) + one studio deal structured to include data rights.

Gate: both doors signed
Phase 3

Compound

Publisher partnerships → the dataset nobody else can build (server truth + client inputs). Histories accrue; trust compounds.

Discipline: scale against demand

The deeper play: the durable business isn’t the fleet — it’s coverage intelligence: knowing what world models are missing and acquiring it from the cheapest adequate source. The fleet is one supplier of that. We happen to own it.

This week

Who does what

OwnerActionUnblocks
EveryoneTreat the audio quarantine as the only “this week” itemLegal exposure that already exists
AntonioPick probes from the B-04 survey; 5-min MineWorld download checkPOC pre-registration + model choice
VincenzoCorpus-sample cut (with hour counts, consent-era filter, audio handling)Atlas, curation, IDM briefs
AlexCounsel packet out (cover note drafted); ingest the 07-07 call into the vaultRights posture; team knowledge
Marco / infraPaste the two session handoffs (eval harness on dfgpu; provenance schema on Supabase staging)The POC’s critical path
PhilOperator capacity for ~3–4 Minecraft days, scheduled around the offsiteCollection

Everything above lives in full depth in the docs: Proposals → World-Model Data Engine (10 pages + 7 roadmap sub-pages + the AI delegation loop), with returned research artifacts in ec-workspace/research/world-model-data-flywheel/.