Run server-side
Qlair runs server-side, analyzing match data and player behavior without requiring players to download anything locally.
AI anti-cheat framework
Qlair turns signals into action.
Machine learning models trained on human behavior, known cheats, telemetry, and hardware signatures identify artificial play and cheating within seconds.
Problem
Cheating is not niche anymore.
AI is changing how cheating in games works. Cheat software can run externally, use models to aim, react, or generate new exploits, and hide inside the noise of normal play.
The cost is direct: studios lose revenue, competitive integrity, and players. Cheaters chase away players; without players there is no industry.
$522B
gaming market expected in 2025
$29B
annual losses attributed to cheating
Solution
Detect suspicious play, learn the pattern, act fast.
Qlair is an AI native anti cheat framework, continuously comparing player actions against trained models and fresh telemetry. It flags unnatural assistance before it becomes a community problem.
Interface
Telemetry control, from overview to verdict.
How it works
Qlair detects cheating and suspicious play, then learns new patterns continuously.
Monitor every match
It views and compares player actions against training data, telemetry, and known cheat signatures.
Recognize artificial play
Computer-assisted or unnatural behavior is matched against a growing dataset of patterns.
Take action
Restrict or ban confirmed cheaters in minutes instead of hours, protecting legitimate players.
For game studios