Licensed gameplay and real-world video, transformed into action-aligned, training-ready packs. Built to your research team's spec, delivered by experts who know the footage.
We supply frontier world models with scarce training data: gameplay with native input and game-state telemetry, cleaned, normalized and segmented, as well as curated real-world video annotated to your action schema.
Native action-aligned gameplay. Frame-synced video, player inputs, and structured game-state events captured at the source.
Aligned Export
Raw frame / input / game-state streams, time-synced.
Structured Corpus
Controlled action vocabulary, segments, outcome & skill labels.
Agent Episodes
Trajectories with intent narration and event-derived reward.
Curated, licensed real-world video with categories including instructional, object manipulation, high-motion sports, drone, and CCTV.
Curated Pockets
Rights-clean category slices, deduped and filtered.
Structured Video
Timestamp actions, keysteps, captions, object & camera pose.
Expert-Narrated
Source-level annotations, creative intent, and technique to spec.
100K+
hours native action-aligned gameplay
5M+
hours action-labeled real-world video
95%
exclusive, rights-cleared for AI training
7K+
companies in expert network
Timestamp-aligned action labels, keysteps, captions, object interactions and camera pose — the layer that turns licensed footage into training data.
mise_en_place
recipe phase
knife.dice
technique
1 ingredient
prepped
0.97
Live confidence
Objects & Farming
framing static, ~45deg overhead
Outcome & Skill
mise_en_place
recipe phase
1 ingredient
prepped
knife.dice
technique
0.97
Live confidence
Objects & Farming
Knife work: fine, even dice of celery on the board - uniform cuts for an even cook.
Action vocabulary, segments and outcomes computed from the input and game-state streams we capture at the source then curated into agent episodes with intent and event-derived reward.
We structure, label and align data into training-ready packs yours or ours. Defined with your research team, delivered by a network of domain-expert gamers and creators, with QA and iteration.
Step 1
You bring the training objective and the gaps. We map them to data families and stages.
Step 2
Align on action vocabulary, ontology, label set and acceptance criteria.
QA & iteration loop across every step
Step 3
Domain-expert production companies & gamers annotate to the schema.
QA & iteration loop across every step
Step 4
Delivered in your format with a schema manifest, provenance and QA report.
Source, curate, and deploy training-ready datasets with zero prep friction.
Rights-cleared for AI training. Not scraped, not re-licensed off a public set.
Native input on gameplay, expert annotation on real-world video. Ground truth, not model-inferred labels.
Production companies, award-winning creators, and professional gamers who understand the footage, not a generic crowd.
Annotations aligned to your training use case and acceptance criteria.
Share your needs and our team will respond within 24 hours.