The Agentic AI Layer for How Games Are Built, Tested, and Run

Game Lifter is an agentic AI platform that works inside the pipeline you already run, across QA, LiveOps and co-development.

Your teams should be finding bugs—not spending hours writing test cases, documenting them, and chasing regressions. Game Lifter handles the busy work, so you can focus on the game.

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See How It Works

The Problem

Three parts of a studio. The same tax on all of them.
  • QA

Testing is the tax on every build.

  • Regression takes days, not hours
  • Coverage is a guess, not a number
  • Bugs found late cost far more to fix
  • LIVEOPS

Games running on yesterday’s data.

  • Problems surface in reviews, not dashboards
  • Support tickets pile up unread
  • Every player sees the same event
  • CO-DEV

Production still runs on manual effort.

  • Assets drift, duplicate and go missing
  • Legacy code nobody wants to open
  • Porting is a quote, not a plan

Why We Built Game Lifter

Three pillars. One connected platform.
Game Lifter is built to help studios ship faster, at less cost while maintaining same quality. One platform, sitting inside your pipeline, with specialist agents that share the same context: your build, your backlog, your taxonomy, your history.

Why It Is Different

It runs in your environment

Deployed into your VPC. Read-only access. No code, no builds and no player data leaving your network.

It learns your taxonomy, not a generic one

Game Lifter reads your bug taxonomy, your severity model, your report templates and your coding standards. You do not start over on someone else’s schema.

A human signs off, every time

Agents propose. People approve. Every output is inspectable, reviewable and traceable back to the input that produced it.

Built by people who have shipped games

Game Lifter is built by iXie, a games services studio with 15+ years of QA, art, co-development and LiveOps delivery for global publishers.

What Game Lifter Does

The QA Layer
Bug Report Agent
From tester notes to a structured, filed bug in seconds.
Describe what happened. The agent drafts the full report with repro steps, severity, tags and your studio’s own template, then pushes it to Jira. Bug reports go from 20 to 45 minutes down to under 90 seconds.
Test Case Generator Agent
Hand it a GDD. It reads it like a tester would.
Pulls out features, flags priority and writes test cases at whatever depth the moment needs. A sanity pass before a patch. Full edge-case coverage before a release.
Test Prioritization Agent
Run the tests that matter for this build.
Ranks the suite against what actually changed, so the regression pass targets risk instead of running end to end every time.
Taxonomy Agent
Your bug taxonomy, applied consistently.
Classifies, tags, routes and de-duplicates incoming bugs against your own taxonomy, so the backlog stays readable without a human triaging every ticket.
Visual Regression Agent
Describe what should be on screen. It checks.
No brittle scripts. Point it at a device and ask plainly: is there a hut, two characters and a dolphin on screen? It checks screenshot by screenshot and reports back in plain language.
Self-Heal Agent
Tests that survive the next build.
When the UI or the API shifts underneath a test, the agent updates the test instead of handing your team another failure to investigate.
Coverage and Confidence Scorer
Coverage as a number you can report.
Maps tests to gameplay systems and produces a coverage score per system, so "are we ready to ship" gets an answer instead of an opinion.
Network Trace Analyzer
Reads the traffic, flags what is wrong.
Parses capture logs from a session and surfaces malformed calls, failed requests and anomalous payloads without a person reading the trace line by line.
Daily Report Agent
The status report writes itself.
Pulled straight from what QA already logged. Same format, every morning, no one’s evening spent assembling it.
Knowledge Hub
One searchable layer over everything your project knows.
Every document, every workflow, every past decision, in one place and queryable in plain language.

What Studios See

Measured across iXie QA engagements.

Regression cycles up to 50% faster.

The pass runs overnight, not over your team.

Around 40% less triage effort.

Triage that does not eat the morning.

Bug reports in under 90 seconds

Down from 20 to 45 minutes.

Coverage becomes reportable.

A score per system, not a spreadsheet and a feeling.

The LiveOps Layer

Stop finding out from the reviews.

CS Ticket Intelligence Agent

Thousands of tickets a week, clustered into a daily brief.

Groups incoming support tickets by root cause rather than keyword, ranks them by player impact, and produces a short daily read for product and LiveOps. The backlog becomes a signal instead of a queue.

Sentiment and Review Signal Agent

Know what players are saying before the rating moves.

Tracks store reviews, community channels and social signal, clusters the themes, and flags the ones that are accelerating.

Crash Clustering Agent

Crashes grouped by cause, not by error code.

Ingests crash dumps across platforms, clusters them by root cause, scores them by how many players are actually affected, and files the top issues automatically.

Event Fatigue Agent

See the drop-off before it shows up in DAU.

Scores event performance per cohort and flags fatigue while there is still time to change the calendar.

Telemetry Lineage Agent

Know what every event in your pipeline actually feeds.

Maps every event, property and downstream consumer, surfaces schema conflicts across versions, and identifies events nothing is reading any more.

The Co-Dev Layer

Legacy code gets read, not avoided.

Development

Code Comprehension Agent
Ask the codebase a question, get an answer with citations.
Maps dependencies across scripts, scenes and prefabs, produces plain-English documentation for any system, and surfaces circular dependencies and dead code. New engineers onboard in days instead of months.
Asset Dependency Mapper
Every asset, and what actually references it.
Reads the project asset registry and builds a full reference graph, so nothing gets deleted that something still needs.
Asset Reference Auditor
Find the dead weight in the build.
Identifies orphaned assets with no inbound references, estimates the build size impact of removing each one, and produces a build trim report a producer can action.
Porting Agent
A porting timeline instead of a quote.
Maps platform-specific dependencies and produces a phased, agent-guided plan for cross-platform and cross-engine work.
Build and Pipeline Health Agent
The build status that is actually current.
Monitors build health, flags degradation across the pipeline and tells you which change caused it.

Art

Asset Library Audit
Find the drift, the duplicates and the gaps.
Catalogues and tags the full asset library, surfaces near-duplicates, and reports where the library has diverged from the style guide.
Asset Dependency Mapper
Every asset, and what actually references it.
Reads the project asset registry and builds a full reference graph, so nothing gets deleted that something still needs.

Security and Deployment

Your code does not leave your network.

Deployed in your VPC

Game Lifter runs inside your environment, not ours.

Read-only access.

Jira, Perforce and build servers are connected read-only. Agents propose changes, they do not make them.

No data egress.

No source code, build artefacts or player data leaves your network.

Model choice is yours

Private and open-source models supported for studios that will not send anything to a third-party API.

Human in the loop by default.

Every agent output is reviewed and approved before it lands.

Full audit trail.

Every output traces back to the input and the approval that produced it.

Bring us a build. We will show you where Game Lifter fits.

A build, a backlog, or a testing problem you have been putting off. We will run it and show you what comes back.
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