How Wishroll is cutting AI costs by >95%, scaling to 500K+ DAUs, and driving time spent per user to over 1.5 hours per day

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The only AI framework powering massive consumer applications

Adapt instantly to your users, continuously improve quality with scale, maintain real-time responsiveness, and reduce per user costs as usage grows

Powering gameplay in experiences from:

Continuously Evolve Quality to Better Engage Users

Most consumer-facing AI quickly becomes stale and predictable (or simply never works). Models rapidly become obsolete and user interests shift. To prevent declining user interest, AI must constantly learn from interactions, adapting in real-time, and leveraging data for global model enhancements as usage grows.

Real-Time Performance for Massive Concurrent Users

Standard cloud-based AI services incur severe latency at consumer scale (normally several seconds), and collapse during high-traffic events. Poor and unstable performance breaks user trust and leads to rapid drops in user engagement.

Cost Efficiency & Full Ownership That Improves with Scale

Most AI providers inflate per-user costs at scale, with opaque billing and vendor lock-in threatening growth, control, and security.

In the game's first two months, Death by AI reached 20 million players with retention metrics that would make any studio envious. Using OpenAI and ElevenLabs wasn’t financially sustainable given their game’s unexpected popularity and replayability. What’s more, Playroom (part of Little Umbrella) experienced significant issues with AI latency and localization quality that were causing players in certain regions to churn. They needed to switch their AI models fast. 

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