◆ Playground is coming soon. We'll notify you when it's live.
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.