Ejento AI voice chat
от Data Science Dojo
Real-time voice conversations with Ejento AI agents for faster resolutions, natural interactions.
Talk directly to your AI agents using voice chat. Resolve requests faster.
The Ejento AI voice chat add-on brings real-time voice conversations to your existing Ejento AI deployments. Instead of typing, you simply speak with your own voice to the AI agent. You connect with agents through low-latency voice sessions to handle requests faster, reduce friction, and work more naturally.
Why use voice for AI agents?
What Ejento AI voice chat does
Voice-first Interaction: Real-time voice sessions with Ejento AI agents through a web-based interface
Low-latency performance: Sub-second audio latency and agent join times under 5 seconds at p95 for responsive conversations
Connects to your existing tools: Can use your work tools as a data source for context, using MCPs for Outlook, Teams, DevOps, and more.
Seamless Ejento AI integration: Connects to the same Ejento AI agents, policies, and controls your teams already use
Production-grade architecture: Built on LiveKit-based real-time communications with auto-scaled agent services for agent dispatch, prompt handling, and session management
Enterprise scale: Handles growing usage demands through horizontally scalable infrastructure
Built for the enterprise
Extends your existing Ejento AI deployment so there's no separate voice platform to manage or govern
Integrate and manage programmatically via API: embed voice sessions into your own applications with support for session management, agent configuration, and flexible deployment options
Works with any LLM-powered Ejento AI agent or platform, as voice is just another channel
Governance-ready so leverages the same policies, guardrails, and audit controls
Why use Ejento AI voice chat with agents?
Unlike standalone voice AI platforms that require separate infrastructure, data pipelines, and governance, Ejento AI voice chat is purpose-built to extend Ejento AI. Your agents, your policies, your architecture — now with voice. This means faster rollout, lower operational overhead, and no ecosystem fragmentation.