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Powering the next wave of realtime AI apps

World's Best Realtime TTS

Realtime LLMs & Model-Agnostic Orchestration

A technical flowchart of a multi-step data processing system with nodes for input, processing, and output.

Multimodal Research

A list of two Github repositories, 'tts' and 'prompt-brewery', with their respective star and fork counts.

#1 ranked TTS on Artificial Analysis and Hugging Face

Realtime LLMs

Multimodal Research

Realtime latency. #1 on benchmarks. Under 1c per minute. Full multilingual support. Enhanced voice cloning. On-prem options.

Try the playground GitHub examples

Bible Chat scaled their AI voice features to millions of users with Inworld TTS, which tops quality on HuggingFace Arena while being >90% cheaper than competing models.

>90%

cost reduction

Access state-of-the-art LLMs for realtime applications. Model-agnostic. Smart routing, sub-second latency, and the orchestration layer to ship at scale.

Explore templates

Wishroll / Status drove growth to 500K+ DAUs while increasing time spent to 1.5 hours per day and cutting costs >95%.

Research and Open Source projects on realtime multimodal models.

GitHub

Trusted by industry leaders

Working with Inworld helps us open up new possibilities for developers building expressive, real-time voice agents. The focus is always on giving builders access to great tools, and this integration fits perfectly with that mission. We’re excited to see what our developer community creates next.

Inworld can be utilized for immersive educational experiences, such as sales training simulations.

Inworld enables real-time online experiences. It’s also lightning-fast.

Their visual graph system combines flexibility, performance, and user-focused design in a way that makes it easy to prototype and scale quickly. Additionally, their library of high quality, cost-effective, low-latency voices allows us to build applications that were unfeasible even six months ago.