.svg)
Inworld AI provides a comprehensive platform for building realtime AI applications with state-of-the-art text-to-speech, language model orchestration, and multimodal capabilities. The platform is designed for developers creating conversational experiences in gaming, media, voice agents, customer support, and enterprise applications.
The platform's text-to-speech technology ranks first on industry benchmarks including Artificial Analysis and Hugging Face, delivering realtime latency under one cent per minute with full multilingual support and enhanced voice cloning. Developers can access on-premise deployment options for privacy-sensitive applications.
Inworld's realtime LLM orchestration provides model-agnostic access to state-of-the-art language models with smart routing, sub-second latency, and production-grade infrastructure. The platform has demonstrated measurable performance improvements, with customers reporting cost reductions exceeding ninety percent and user engagement metrics showing daily active users growing to over five hundred thousand with session lengths reaching one and a half hours per day.
The company maintains active open source contributions and multimodal research projects, with integration support for Unity, Unreal Engine, LiveKit, and major AI development frameworks. Inworld's infrastructure is built to handle consumer-scale applications with proven deployments across gaming, media production, AI copilots, and customer support systems.
- Build expressive voice agents with realtime text-to-speech and language model orchestration for customer support applications
- Create interactive AI characters for gaming and media that respond dynamically to user actions and improve engagement metrics
- Deploy multilingual voice experiences with enhanced voice cloning capabilities for international applications
- Implement cost-effective AI voice features that reduce infrastructure costs by over ninety percent compared to competing solutions
- Scale conversational AI systems to millions of daily active users with sub-second latency and production-grade reliability
- Integrate realtime LLM capabilities with model-agnostic routing for building AI copilots and assistants
- Develop immersive educational experiences and sales training simulations with interactive AI-powered scenarios
- Build on-premise or on-device voice solutions for privacy-sensitive enterprise applications
- Create voice-enabled devices and agents with hosted or self-hosted deployment options
- Enhance gaming experiences with AI characters that improve player retention and time spent metrics
- Deploy AI sales and support agents that increase customer satisfaction scores and conversion rates
- Prototype and scale realtime AI applications using visual graph systems and flexible orchestration tools
