Ship faster without drowning your QA team.
BugHunter plays real builds like a player, catches regressions and broken flows before release, and gives your team actionable QA reports with logs, video, and gameplay context. It adds 24/7 testing capacity when release pressure is highest.
What your team gets from the first run
Upload a build. Let BugHunter explore it. Get reproducible issues with logs, video, and gameplay context in hours, not weeks.
Reproducible bug reports
Video replay, logs, severity, and reproduction steps your team can act on.
Gameplay-aware exploration
AI agents test loops, menus, progression, combat, edge cases, and unscripted states.
Faster release confidence
Catch regressions before launch and expand coverage beyond brittle scripts.
Data that gets smarter over time
Each run improves context, coverage, and insight quality for that game.
Game release complexity is growing faster than QA capacity
Live games ship more updates, events, content, and economy changes than manual QA teams can cover. Every release creates thousands of gameplay states, regressions, edge cases, and monetization risks. QA still scales linearly, while release pressure does not.
Manual QA breaks under live-ops pressure
Regression cycles take days or weeks. Scripted tests break quickly. Coverage stays narrow while every update increases the surface area.
Release delays cost more than QA time
When QA becomes the bottleneck, teams ship slower, learn slower, and monetize slower. Bugs found after launch cost more and damage player experience.
Studios need gameplay-aware automation
Not another brittle test script layer. They need AI that can explore systems, understand context, and keep improving across builds.
The Workflow
How BugHunter works
Upload a build. Let AI players explore. Get reproducible bug reports with logs, video, and gameplay context.
Upload build
Share your game build with BugHunter. No SDK or code changes required.
AI agents run gameplay
Autonomous AI players explore your game, learning mechanics and testing paths humans miss.
Detect bugs and regressions
BugHunter identifies crashes, stuck states, and behavioral regressions across runs.
Generate QA reports automatically
Receive detailed bug reports with video, logs, and full reproduction steps.
View the full workflow, screenshots, and product demo
Trained on real gameplay data, not just prompts
NodeMori is not a generic AI wrapper. It improves by learning from gameplay telemetry, session logs, player behavior, and prior runs. That creates a game-specific intelligence layer competitors cannot fake with scripts alone.
Telemetry-aware
Learns from gameplay events, player paths, deaths, inputs, quest states, crashes, and session logs.
Game-specific models
Each integration becomes more tuned to the mechanics, states, and edge cases of that title.
Continuous feedback loop
QA runs generate new data. New data improves the model. Better models improve coverage and insight quality over time.
Cross-functional value
The same core intelligence can support QA, product, balance, economy review, and competitive analysis.
What studios get
Faster regression testing
Reduce repetitive manual coverage and test more of every build before release.
Earlier issue detection
Find broken loops, progression blockers, economy anomalies, and gameplay regressions before they hit production.
More actionable QA output
Reports include context, logs, and session evidence, not just raw alerts.
A path beyond QA
Use the same AI layer to evaluate game balance, onboarding friction, monetization design, and competitor benchmarks.
Every bug caught and every run completed makes the system smarter for that game.
Scout Mode
An AI exploration and product intelligence layer for game teams. Scout Mode extends NodeMori beyond bug detection. It explores your game and competitor games to surface friction, balance issues, monetization gaps, pacing problems, and market-level differences.
Built for product leads, game designers, analysts, and growth teams who need faster, data-backed answers.
Balance and difficulty validation
Spot difficulty spikes, dead loops, broken pacing, and progression friction before players do.
Economy and paywall review
Analyze economy pressure, monetization pacing, paywall placement, and reward timing from simulated and observed runs.
Competitor intelligence
Run through competitor games, compare onboarding, game loops, monetization, and UX decisions against your own product.
Creative and gameplay content generation
Use autonomous runs to generate gameplay clips, scenario variations, and creative inputs for UA and content testing.
Product insight from logs
Turn gameplay logs and telemetry into insight on friction points, churn risk, underused systems, and design blind spots.
Market median benchmarking
See where your game differs from category patterns across pacing, engagement loops, progression, and monetization structure.
Why NodeMori stands out
Most tools stop at scripted checks, generic bots, or isolated analytics. NodeMori combines autonomous gameplay, telemetry-aware analysis, and a growing intelligence layer across QA and product workflows.
NodeMori is not just another test automation layer. It is an AI gameplay intelligence platform.
Built for teams shipping live games
Mid-core mobile studios
Frequent releases, live-ops pressure, and high regression load.
Live-service product teams
Need faster insight into balance, pacing, retention friction, and release risk.
Studios scaling beyond manual QA
Need broader coverage without scaling headcount linearly.
Best fit today: mobile and live-ops-heavy teams with frequent updates and meaningful QA surface area.
Bring AI-powered regression testing to studio clients
BugHunter can also support select game QA service partners that want to run faster regression cycles, expand coverage, and deliver reproducible bug reports without scaling manual effort linearly.
- Faster regression coverage across client builds
- Reproducible bug reports with video and logs
- A practical AI layer for studio QA delivery
Best suited for selective co-sell or partner-assisted pilots with game QA firms already serving live-ops studios.
Pricing built for overloaded QA teams
Start with a guided pilot run, launch release-ready testing on demand, or add continuous monthly AI QA coverage to your team.
BugHunter helps studios reduce release bottlenecks and expand QA coverage without adding headcount.
Guided Pilot Run
24-hour review
Guided onboarding included
Release Run
One-time run
No subscription required
Guided onboarding included
Studio Lane
$1,200/mo month-to-month
= one QA tester / month
Annual commitment, billed monthly
Scout Add-On
Requires Studio Lane
Command Center
Multi-agent workflows
Managed onboarding
Agent Testing Hours = active time when BugHunter agents are actually testing your build.
Frequently asked questions
Trusted by game studios
From mobile RPGs to live-service MMOs, studios use NodeMori to ship faster and test smarter.
Studios building in these categories have explored NodeMori:
“BugHunter found edge cases our manual QA missed. The AI plays like a real player, which makes the bug reports actually useful.”
Seen at GDC 2025 and GDC 2026
Refined with direct feedback from studios and game industry teams.
See how NodeMori performs on a real build
Run a pilot, review the output, and see what autonomous gameplay testing and Scout Mode can surface for your team.