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Currently deploying at a $10Bn AAA studio

Bring your game.
The copilot handles the rest.

XGaming's AI agents plan, build, test, and rollout game features autonomously. Set a goal in plain English — segmentation, hypotheses, experiments, and optimization happen in real time.

See how it works
xg-copilot — session
xg.goal("Improve D7 retention for mid-core players in NA")

// Segmentation Agent activating...
✓ Built segment: 42 behavioral + contextual signals
✓ Hypotheses: 8 data-backed experiments generated
✓ Actions: offers, tuning, content variants queued
✓ Optimizer: contextual bandits → live traffic allocation

D7 retention +14.2% after 72 hours // zero manual setup
From goal to rollout
in four steps

No manual segmentation. No static A/B tests. No weeks of waiting.

01
🎯

Set a Goal

Type what you want in plain English. "Boost D7 retention", "Increase IAP conversion for lapsed whales", "Test new offer mechanic in SEA."

02
🧠

Agents Plan

AI agents analyze your game telemetry, build intelligent player segments using 40+ signals, and generate data-backed hypotheses to test.

03

Experiments Run

Contextual bandits deploy experiments and shift traffic to winning variants in real time — not static splits that waste weeks on losers.

04
🚀

Ship & Compound

Winning features roll out to production. Every experiment feeds back into the system, making the next one smarter.

Powerful agents,
working behind the scenes

Each agent is purpose-built for a stage of the experimentation lifecycle.

Segmentation Agent Core

Builds hyper-specific player cohorts from 40+ behavioral, contextual, and platform signals — far beyond what a PM would manually consider.

Hypothesis Agent Core

Mines game telemetry to generate data-backed experiment ideas. Surfaces what to test, why it should work, and the expected impact.

Experiment Agent Core

Configures and launches experiments with proper controls, variants, and success criteria — no engineering tickets required.

Bandit Optimizer

Runs contextual bandits (LinUCB / Thompson) that adapt traffic allocation in real time. Outperforms static A/B by converging faster on winners.

Insight Agent

Continuously monitors experiment results and extracts patterns. Learns what works across titles and feeds knowledge back into future runs.

Rollout Agent

Graduates winning variants to full production with staged rollout, guardrails, and automatic rollback if metrics degrade unexpectedly.

40+
Segmentation Signals
72h
Time to Results
0
Engineering Tickets
Experiment Variants

Not another dashboard.
A system that acts.

Amplitude gives you charts. Optimizely gives you infrastructure. Neither tells you what to test, generates the hypothesis, or optimizes the outcome. XGaming does.

Real-time Contextual Bandits

Adapts to shifting player behavior — seasonal events, meta changes, content drops.

🔒

Enterprise-safe AI

Custom prompt layers, tool-calling guardrails, and studio-level autonomy controls.

📈

Cross-title Learning

Every experiment generates proprietary data. The system compounds intelligence across games.

Metric Before With XG
Experiment setup 2-3 weeks Minutes
Segments per experiment 3-5 40+
Variants tested 2-3 Unlimited
Time to results Weeks 72 hours
Optimization Static A/B Adaptive
Engineering dependency High Zero

Ready to ship faster?

Integrate the SDK. Set a goal. Let the agents do the rest.