Stream
AI agent development
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
- Voice setup code cut from 400 to 40 lines
Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
An early-stage software company builds autonomous voice agents that manage end-to-end enterprise operations, from calling suppliers to updating internal systems.
Building custom real-time speech infrastructure for these agents was estimated to take 8 to 12 weeks. This requirement threatened to drain...
“The first time a customer talked through their workflow and saw a structured process map come back in minutes, the room went quiet. That's when we knew voice wasn't a feature, it was the interface. ElevenLabs made it possible to ship that experience in a week.”
AI platform for customer success automation and churn risk detection.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Related implementations across industries and use cases
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
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.
Stitching audio models disrupted conversation flow. A unified platform now handles the pipeline, freeing engineers to build the agent.
Triggering hundreds of calls at once caused lag. A low-latency model now supports 500+ simultaneous lines with instant reactivity.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
An early-stage software company builds autonomous voice agents that manage end-to-end enterprise operations, from calling suppliers to updating internal systems.
Building custom real-time speech infrastructure for these agents was estimated to take 8 to 12 weeks. This requirement threatened to drain...
“The first time a customer talked through their workflow and saw a structured process map come back in minutes, the room went quiet. That's when we knew voice wasn't a feature, it was the interface. ElevenLabs made it possible to ship that experience in a week.”
AI platform for customer success automation and churn risk detection.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Related implementations across industries and use cases
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
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.
Stitching audio models disrupted conversation flow. A unified platform now handles the pipeline, freeing engineers to build the agent.
Triggering hundreds of calls at once caused lag. A low-latency model now supports 500+ simultaneous lines with instant reactivity.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Sellers lost hours to manual research. AI agents now prioritize leads and draft briefs, cutting prep time by 80%.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.