Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
A communication platform provider supports developers in building real-time video and audio applications across a global edge network.
Creating multimodal AI agents required extensive manual configuration, with voice integration alone demanding 400 lines of code. This complexity...
“ElevenLabs made it easy for us to quickly bring powerful text-to-speech capabilities to our SDK, allowing Agents to respond in real time with expressive voices to user questions or as feedback to what it’s seeing.”
API platform for building real-time chat, video, and activity feeds.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Related implementations across industries and use cases
Limited to 10 voices, agents felt unnatural. Now, they call engineers 24/7 to fix bugs and explain code in real time.
Stitching audio models disrupted conversation flow. A unified platform now handles the pipeline, freeing engineers to build the agent.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.