A framework for building real-time agentic experiences
Drive audience engagement with a production-ready framework for building AI agents with client-side logic and local model inference. Inworld brings your AI stack in-house with tools optimized for real-time data ingestion, low latency, and massive scale.
Powering gameplay in experiences from:
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.?
Inworld Framework
Future-proofed AI stack
Integrate 3rd-party components, choose foundational models, and access source code to avoid vendor lock-in. With support for C++, Python, and game engines.
Real-time data ingestion
Dynamically ingest real-time game states and multimodal inputs to deliver responses with ultralow latency.
Production ready
Compile logic graphs for optimized deployments that scale seamlessly across platforms and devices.
Optimized for user engagement
Drive replayability, session length, retention, and ARPU with agentic AI that increase immersion.