Inworld AI vs Regression Games
Compare gaming AI Tools
Inworld AI
Platform for AI characters with emotion memory and tool use for games and apps plus TTS and usage based pricing through endpoints and cloud partners.
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.
Feature Tags Comparison
Only in Inworld AI
Shared
Only in Regression Games
Key Features
Inworld AI
- • Character Brain Design: Define lore goals emotions and constraints so conversations feel coherent and safe inside your world
- • Tool Use and Actions: Let characters call functions update state and trigger animations to move beyond chat toward agency
- • SaaS or Cloud Endpoints: Deploy through managed APIs or partner clouds with private networking for scale and compliance
- • Graph and Guardrails: Use a designer friendly graph to craft states handoffs and fail safes that enforce narrative rules
- • Analytics and Tuning: Inspect transcripts satisfaction and drops then adjust memory or guardrails to improve sessions
- • Voice and Prosody: Use expressive TTS and voice cloning for immediate production ready dialogue delivery
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
Inworld AI
- → Give NPCs persistent memory and agency so quests adapt to player choices and feel alive
- → Prototype social spaces where assistants run shops teach skills or host events with safe guardrails
- → Automate tutorial helpers that detect intent and guide players through mechanics or onboarding
- → Run branded characters in marketing activations that answer questions and trigger rewards
- → Enable creator tools that let players design companions with simple sliders and safe defaults
- → Localize worlds with character specific voices that match personality and culture
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
Inworld AI
game studios platform teams XR developers and agencies that need believable AI characters with tools for design control analytics and scalable deployment
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
Inworld AI
Regression Games
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