ElevenAgents

About ElevenAgents

Launched Apr 21, 2025

Description

Build Smart Conversational AI Voice Agents with ElevenAgents

ElevenAgents Conversational AI redefines customer experiences with LLM-powered agents, STT & TTS for voice. Multi agents engage with empathy, resolve issues, and delight, seamlessly handling diverse queries—perfect for support or assistance across industries.

ElevenAgents Key Features

Speech-to-Text (STT): Fine-tuned ASR model for accurate transcription of caller dialogue.
Text-to-Speech (TTS): Low-latency, human-like voices in 5k+ options across 31 languages.
Turn-taking & interruption handling: Custom logic for natural, seamless conversations.
Knowledge base integration: Upload documentation for expert responses.
LLM-powered agents: Integrates with Gemini, Claude, OpenAI, or custom LLMs for intelligent responses.
Multilingual support: Responds in multiple languages and dialects.
Low latency: Ultra-fast performance for real-time interactions.

ElevenAgents Use Cases

Customer support: Resolves inquiries with empathy across industries like retail, telecom, or finance.
Technical support: Guides users through troubleshooting for software or hardware issues.
Healthcare assistance: Schedules appointments, answers patient queries, or provides basic medical guidance.
E-commerce: Handles order tracking, returns, and product recommendations.
HR & recruitment: Screens candidates, answers employee queries, or guides onboarding.
Education: Supports students with course info, tutoring, or administrative queries.

Pros

Leverages LLM-powered agents for enhanced conversational AI.
Offers both Speech-to-Text (STT) and Text-to-Speech (TTS) capabilities for voice interactions.
Capable of handling multiple agents to engage with empathy.
Effectively resolves issues and provides a delightful customer experience.
Seamlessly manages diverse queries, making it suitable across various industries.
Optimized for both support and assistance roles, enhancing customer service operations.

Cons

Complexity in setting up multi-agent systems may require additional training or technical knowledge.
Potential initial costs for integration into existing systems for businesses.
Voice recognition accuracy may vary depending on environmental factors and dialects.
Dependency on continuous updates to stay effective with evolving languages and queries.