Inworld

Inworld AI is a real-time, scalable AI engine designed to power agentic experiences and interactive NPCs in games and multimedia applications. It enables developers to build, deploy, and optimize AI agents with client-side logic and local model inference, bringing the AI stack in-house for low latency, high throughput, and large-scale engagement.

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How Inworld Works

1. Real-time data ingestion: Dynamically ingest game states and multimodal inputs to drive instant AI responses with ultralow latency.
2. Agent pipelines: Build custom AI agent pipelines that govern perception, decision-making, dialogue, and actions.
3. On-device deployment: Enable on-device AI deployments to reduce latency, improve privacy, and avoid round-trips to servers.
4. Platform integration: Integrates with C++, Python, and major game engines, allowing seamless embedding into existing pipelines and workflows.
5. Production-ready deployment: Compile logic graphs and scale deployments across devices and platforms for production needs.

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Use Cases

• Runtime NPCs and ally/combat companions with believable dialogue and behavior.
• Agentic experiences for quests, tutorials, and narrative branching.
• Interactive marketing, training, and creative experiences with responsive agents.
• Streaming and dynamic entertainment with responsive characters and assistants.

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Getting Started

• Build custom AI agent pipelines and tailor behavior, coherence, and performance.
• Leverage on-device inference to minimize latency and improve user experience.
• Sign up for licensing or contact the team to discuss integration and deployment options.

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On-Device and Privacy

• On-device deployments enable offline or low-latency operation.
• Local inference reduces reliance on external APIs, supporting privacy-conscious designs.

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Why Choose Inworld

• Real-time, scalable AI for production-ready experiences.
• Flexible integration with C++, Python, and game engines.
• Tools for building, optimizing, and refining agent behavior and engagement.
• Support for large-scale audiences with high retention and immersion.

Feature List

• Real-time AI agents with ultralow latency for interactive experiences
• Client-side logic and local model inference to keep AI processing in-house
• On-device deployments for privacy, latency, and offline scenarios
• Seamless integration with C++, Python, and major game engines
• Production-ready pipelines: build, optimize, and deploy AI agent behaviors
• Dynamic ingestion of real-time game states and multimodal inputs
• Tools for refining agent coherence, behavior, and performance
• Scalable architecture designed to support large DAU and high engagement