We mark up your images and video, saying what each thing is and where, so AI can learn to recognise it.
Explore serviceData & annotation
AI for smarter games and fairer play.
Games produce a huge amount of information about how people play. We help studios make sense of it and put AI to work: characters that behave more believably, testing that runs itself, and systems that spot cheating. We fit around your game engine, your tools and your release dates.
What we offer
AI Gaming services.
- 01
Gameplay data annotation
Labelled gameplay footage, telemetry and screenshots for training vision, behaviour and recommendation models.
- 02
Player behaviour analytics
Segmentation, churn signals and progression analysis built from your event and session data.
- 03
AI-driven NPCs and bots
Non-player characters and bots that respond to players more believably, built within your engine's constraints.
- 04
Automated playtesting
Agents that play through levels and builds to find crashes, soft-locks and balance issues before players do.
- 05
Cheat and anomaly detection
Models that flag aim assistance, speed hacks, bot farming and other suspicious patterns for review.
- 06
In-game chat moderation
Classification of toxic, abusive or spam messages, with human review for borderline cases.
How we work
From guidelines to delivered data.
AI takes the first pass, trained people review it, and quality is checked before delivery.
- 01
Scope
We agree label definitions, edge cases, formats and quality targets with you.
- 02
Pilot
A small batch tests the guidelines before any volume work starts.
- 03
Annotate
Trained annotators label to the agreed guidelines, with tooling to match.
- 04
Review
Multi-stage quality review against the specification, with feedback loops.
- 05
Deliver
Data in your format, with notes on what was checked, then we iterate.
Where it helps
Typical projects.
The kinds of work this service usually supports.
Live-service games
Understanding why players stay or leave, and testing changes to progression and in-game economies.
Competitive multiplayer
Keeping matches fair with cheat detection and review queues for your trust and safety team.
Large-scale QA
Running automated playtests across large maps and many builds so QA teams can focus on judgement calls.
Community safety
Moderating chat and player reports so community teams can act on the worst behaviour first.
Details
Output formats
- COCO JSON
- YOLO TXT
- JSONL
- CSV
- Parquet
- Frame-level video labels
- Moderation label sets
- Custom event schemas
Questions
Which game engines do you work with?
We work with the engine and tooling you already use, including Unity and Unreal Engine, and adapt to in-house engines through their data exports and APIs.
Can you work with unreleased builds?
Yes. We work under NDA and agree access, storage and leak-prevention rules with you before anyone sees a build.
Will cheat detection ban players automatically?
That is your decision. We usually recommend models that score and flag suspicious activity for human review, with automatic action reserved for clear-cut cases.
More data & annotation services
All services
Match footage turned into data: who was where, what happened and when, for coaches, scouts and media teams.
Explore service
Software that watches video for you and flags what matters, from recorded footage to live alerts.
Explore service
Idea → Architecture → Prototype → Production → Scale
Talk to us about AI Gaming.
Tell us what you're trying to build, test, automate or improve. We'll tell you honestly where we can make a real difference, and where we can't.