Sub-200ms Latency

Realtime AI Agents That Talk & Act

Deploy voice-first AI agents that converse naturally, display interactive UI, collect information, guide users through processes, and execute actions, all in real time.

Realtime Voice Interaction

Your AI agent listens, understands, and responds with sub-second latency. Powered by WebSocket streaming, conversations feel as natural as talking to a colleague, with full context from your knowledge bases and tools.


  • Voice-first interaction
  • Natural conversation flow
  • Multi-language support
  • Sub-200ms response time
AI Realtime - Live Session
Tell me about my last month's performance
I've pulled your analytics. Revenue is up 12% and you had 340 new leads. Want me to break it down by channel?
Yes, show me the breakdown

Interactive Visual Interface

The agent doesn't just talk. It shows. While conversing, it can display action buttons, option cards, dynamic forms, and visual navigation elements to guide users through complex processes step by step.


  • Action buttons
  • Option cards
  • Dynamic forms
  • Visual navigation
Interactive Agent - Options

I found 3 options matching your criteria. Select one to proceed:

Schedule Onboarding Call

Next available: Tomorrow 10:00 AM

Fill Registration Form

Quick 3-step guided process

Talk to Sales Team

Connect with a human agent

Confirm
Skip

Platform-Native Tool Execution

AI Realtime agents are deeply integrated with the Siesta AI platform. They can search your vector databases, execute workflow tools, request human approvals, and take contextual actions, all during a live conversation.


  • Tool execution
  • Vector DB search
  • Approval workflows
  • Contextual actions
Tool Execution Log

Vector DB Search

Queried "product-docs" collection

Done

CRM Update

Updated lead status in HubSpot

Done

Approval Request

Waiting for manager sign-off

Pending

Send Email

Composing follow-up email

Running

WebSocket API & Deployment

Use AI Realtime agents inside the platform or deploy them anywhere via our WebSocket API. Embed real-time voice AI into your own apps, websites, kiosks, or internal systems with just a few lines of code.


  • WebSocket API
  • REST endpoints
  • SDK support
  • Custom deployments
connect.js
// Connect to AI Realtime agent
const ws = new WebSocket(
  "wss://api.siesta.ai/v1/realtime"
);

ws.onopen = () => {
  ws.send(JSON.stringify({
    type: "session.start",
    agent_id: "your-agent-id",
    modalities: ["audio", "text"],
    tools: "auto"
  }));
};

ws.onmessage = (event) => {
  const msg = JSON.parse(event.data);
  // Handle audio, text, tool calls
};

From Setup to Scale in Four Steps

Get your real-time AI agent up and running quickly, then scale it across your organization.

1

Connect

Link your knowledge bases, tools, and data sources to give the agent full context.

2

Configure

Define the agent's voice, personality, allowed actions, and approval rules.

3

Deploy

Go live via the platform, embed on your site, or integrate via WebSocket API.

4

Scale

Monitor usage, refine behavior, and roll out across teams and channels.

Built for Enterprise-Grade Realtime AI

Every capability you need to deploy real-time AI agents that your team and customers will love.

Voice Conversations

Natural voice interaction powered by state-of-the-art speech models with support for dozens of languages.

Interactive Cards

Display rich visual cards with options, images, and actions while the agent is speaking.

Form Collection

Guide users through structured data collection with dynamic forms that adapt in real time.

Tool Execution

Execute platform tools, query APIs, and trigger workflows directly from the conversation.

Knowledge Search

Search across your vector databases and knowledge bases to provide accurate, contextual answers.

Human Approvals

Request human sign-off on sensitive actions before the agent proceeds. Fully auditable.

WebSocket Streaming

Ultra-low latency bidirectional streaming for seamless real-time communication.

Analytics & Monitoring

Track conversations, measure satisfaction, and optimize agent performance with built-in analytics.

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