modl.ai vs Regression Games
Compare gaming AI Tools
9% Similar based on 1 shared tag
modl.ai
Game AI platform that provides bots for automated playtesting, synthetic players for balance work, and intelligent NPC tooling to speed game development.
Pricing By quote
Category gaming
Difficulty Beginner
Type Web App
Status Active
Regression Games
Regression Games is an automated game testing platform that helps studios build end to end gameplay tests, run them repeatedly, and catch regressions earlier across releases, with licensing priced by negotiation based on the automation scope and support required.
Pricing By quote
Category gaming
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in modl.ai
playtestingbotsnpcsynthetic-players
Shared
game-testing
Only in Regression Games
automationqaregression-suitegame-devrelease-qualitylive-ops
Key Features
modl.ai
- • Autonomous playtesting bots: Explore levels and systems continuously and surface exploits and blockers with reproducible traces
- • Skill and intent modeling: Simulate novice to expert players and different goals so balance choices reflect diverse behaviors
- • Continuous regression runs: Trigger automated playthroughs on each build to catch progression and submission issues early
- • Behavior tooling: Build goal directed NPCs that react to affordances which reduces brittle rule logic and tuning debt
- • Engine friendly SDKs: Integrate with popular engines and CI so telemetry scenarios and reports are easy to wire
- • Rich telemetry: Capture paths inputs and states so designers can reproduce bugs and evaluate difficulty curves
Regression Games
- • End to end gameplay tests: Build automated runs that exercise real player journeys so regressions show up before release builds reach QA
- • Bot based execution: Use bots or programs to act as players and repeatedly perform actions so issues are found through consistent repetition
- • Regression focus: Run the same scenarios across versions to detect unintended behavior changes after code or content updates
- • Studio licensing model: Subscription pricing is negotiated per studio and shaped by scope and support so procurement aligns with automation needs
- • Automation support options: The partner FAQ notes support influences pricing so teams can align onboarding and help with maturity level
- • Scale friendly runs: Execute tests repeatedly to cover many builds and configurations without increasing manual tester headcount
Use Cases
modl.ai
- → Run nightly playtests that reveal soft locks and economy exploits
- → Model new player confusion vs veteran mastery to tune onboarding
- → Compare difficulty bands across weapons maps and modes rigorously
- → Gate builds with automated progression checks before submission
- → Prototype smarter NPC behaviors without brittle rule sprawl
- → Generate video and path evidence for designer triage meetings
Regression Games
- → Smoke test a new build: Run a fixed set of core menu and gameplay flows after each build to catch obvious breakages early
- → Validate live ops events: Automate checks for limited time modes and reward claims so releases do not disrupt monetization
- → Protect onboarding funnel: Repeatedly test tutorial and first session paths with automation to reduce churn caused by progression bugs
- → Cross version comparison: Run identical scenarios on two builds and flag behavior differences so engineers can isolate changes
- → Device matrix coverage: Execute the same journeys across target hardware profiles so performance and stability issues surface
- → Post incident regression suite: Turn a production bug into a repeatable automated test so the same failure is prevented later
Perfect For
modl.ai
game directors, design leads, gameplay engineers, QA managers, live ops producers, technical designers who need scalable playtesting and smarter NPC tools
Regression Games
game QA leads, automation engineers, gameplay engineers, live ops teams, producers managing release cadence, indie studios scaling testing, studios reducing manual regression, release teams
Capabilities
modl.ai
Autonomous bots Professional
Synthetic players Professional
CI regression Intermediate
Goal based NPCs Intermediate
Regression Games
End to end test runs Professional
Bot driven execution Professional
Regression suite growth Professional
Studio licensing model Enterprise
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