No-Code AI Agent Builder

Agents that talk, take action,
and analyse — on your website.

Chat or voice, right in the browser. Answer from your knowledge, book meetings, save records, then turn every conversation into structured follow-up.

Chat & Voice
Dual Web Modality
Knowledge Base
Knowledge Base Engine
Datastores
Structured Schemas
Sub-Agents
SaaS & Workflow Mesh
Solution-Driven Architecture Scroll To Drive Conversation

Multi-Agent Chatbot Scenarios

Turn Progress 1 of 10
Shopify & Order Ops Chat

E-Commerce Storefront & Live Order Agent

Resolves complex product specs from official documentation, queries live Shopify SKU inventory, calculates shipping, and applies personalized promotional discounts.

Verified Business Impact

  • 24/7 Zero-Latency Shopper Support
  • 42% Boost in Live Conversion
  • Zero Repetitive Inventory Tickets

Sub-Agents Orchestrated

Knowledge Engine Sub-Agent Shopify Inventory Sub-Agent Policy Sub-Agent Promo Sub-Agent

Embage Storefront Concierge

Sub-Agent Mesh Active
Live RAG & Tool Execution
Visitor 10:14 AM

Hey! Is the TrailPack 28L Backpack in Desert Tan waterproof for heavy rain, and is it in stock?

Scroll down to advance next turn
How it feels

Build something helpful. Remember them next time.

  1. 01

    Build

    Shape a friendly AI agent or chatbot with your prompts, knowledge, and tools — no coding required.

  2. 02

    Help

    Let it search docs, save tickets and leads, look up products, and draft follow-ups for your team.

  3. 03

    Store

    Keep their details, preferences, and history so the next chat or call already knows who they are.

  4. 04

    Improve

    Learn from every chat or voice chat — what worked, what was missing, and what to do next.

Visual Feature Breakdown

Engineered for real-world business automation

From modular sub-agent routing and custom datastore schemas to SaaS integrations and post-conversation workflows.

Pillar 01

Modular Sub-Agent Mesh Architecture

Instead of overloading a single prompt, Embage delegates specialized tasks to dedicated sub-agents. The Main Agent routes requests intelligently, reducing latency and cost.

Orchestration Mesh
skillsskillsskillsskillsCRM Sub-AgentDATASTORE WRITERCRM LeadsGet Basic Info(CONVERSATION)Visitor IntakeLIVE MEMORYKnowledgebaseRAG AGENTEmbage KBPDFs & LIVE URLsSend mails(3RD PARTY API)Gmail Session DraftSlack Webhook DispatchedMain
Pillar 02

Post-Conversation Workflow Sub-Agents

Work doesn't stop when a chat or call ends. Post-Conversation Sub-Agents automatically analyze transcripts, extract customer intent, log datastore rows, and trigger follow-up emails.

Automated Pipeline

Post-Conversation Workflow Diagram

100% Autonomous Background Execution
🏁Session Closes(Chat/Voice End)STEP 01Transcript AIParses session logIntent & SentimentSTEP 02Datastore SyncWrites DB record#pipeline_leadsSTEP 03Gmail Follow-upSends recap emailPersonalized CopySTEP 04Slack & CRMFires webhook alert#growth-alerts
Pillar 03

AI Knowledge Base Engine

Upload documentation, PDFs, and articles to train your agent with instant, accurate answers directly from your official knowledge base.

Zero-Hallucination Retrieval

AI Knowledge Base Engine

Ingested Data Sources:

Documentation URLs

12 Pages Crawled

Product Manual PDFs

4 PDFs Ingested

Help Articles & FAQs

28 Knowledge Cards

Semantic Vector RAG

Embedding Similarity Search

Splits ingested PDFs, markdown, and URLs into semantic vector chunks. Queries return exact matching contexts to synthesize multi-document answers.

Query: "What is your refund window for damaged goods?" → Match Confidence: 98.4%
Pillar 04

Custom Datastore Builder & State Management

Turn unstructured visitor conversations into clean database records. Define custom table schemas for leads, support tickets, and feedback without writing glue code.

Structured Datastore Engine

Custom Schema Builder

Real-time Agent Read & Write

Table Schema: Lead Intake

4 Columns

visitor_email

Primary Contact

Text

lead_score

Qualification

Integer

budget_tier

SaaS Plan

Enum

status

State

Status

Live Agent Writes

Auto-populated from chat
EmailScoreBudgetStatus
sarah@acme.com92 / 100Enterprise ($10k+)Qualified
david@techcorp.io84 / 100Pro Team ($2k)Pending Demo
No glue code needed Datastore Sub-Agent handles validation
Pillar 05

3rd-Party App Integrations Ecosystem

Connect Shopify, Gmail, HubSpot, Slack, and Google Calendar with one-click provider authentication. Every connected app generates a dedicated tool sub-agent.

Integration Sub-Agents

3rd-Party SaaS Ecosystem

One-click provider auth

Shopify Sub-Agent

Connected

Dedicated tool sub-agent automatically wired to your Main Agent.

Automated Actions:

Lookup product inventory Track order shipping status Fetch store collections
Pillar 06

Bring Your Own OpenRouter Key

Stay on Embage AI credits, or paste your OpenRouter key and skip those credits. Chat runs on your key. Knowledge searches, datastore writes, and integrations still follow your plan. OpenRouter is the BYOK provider today.

Bring your own key

Skip Embage AI credits

OpenRouter only

01

Paste your key

Add an OpenRouter key in the agent builder.

02

Chat on your account

Model calls go through your OpenRouter key, not Embage credits.

03

Keep plan quotas

Knowledge, datastore, and integration caps still apply. Voice stays per session.

Chat or voice Voice AI Meet Included

Talk with your website agent. Out loud.

Embage isn’t chat-only. Build a voice agent that answers from your knowledge, executes sub-agent actions mid-call, and speaks back — right in the browser, no phone line needed.

Live voice session

Speaking with your website agent

Mic connected

Voice AI Meet Active

Runs in browser tab · Zero phone line needed

Live Transcript

Visitor

Hi, I'm looking at your Pro plan for our team of forty people.

Agent

Pro covers that comfortably. Are you looking for chat support, or voice AI on the site as well?

Visitor

Both! Can you log a demo request for next Tuesday?

Datastore Sub-Agent logged demo request row
First-class voice agents
Interrupt mid-sentence
Sub-agent actions mid-call
One embed, voice or chat
Visual Workflow

Build your agent in 7 visual steps

Scroll through each step — watch the live Embage UI update as you go.

VA
HOME
AGENTS
KB
OUTCOMES
SUB AGENTS
CONNECT
DATA
Agent Builder
Create New Agent
1
2
3
4
5
6
7
STEP 1: USE CASE
What is this agent for?
Customer Support
Feedback
Lead Gen
01 Orchestrator Setup

Create Main Agent

Fill in your agent's name, system prompt, brand tone, and LLM model — then choose between dual voice or chat widget.

02 Knowledge Base

Import Knowledge Base

Paste website URLs or upload PDFs. Embage indexes your content, creates a Knowledge Base Sub-Agent, and connects it to Main.

03 Specialised Skills

Build Sub-Agent

Configure a helper sub-agent — set its name, type, and LLM model. Test queries in the built-in Playground before wiring it up.

04 Structured Database

Create Datastore Schema

Pick a template or start from scratch — define typed fields, toggle required, then use the table to browse and manage live records.

05 SaaS App Integration

Connect Integrations

Connect Gmail, Google Calendar, Shopify or any provider. Create an Integration Sub-Agent and wire it to your Main Agent.

06 Post-Session Intelligence

View Conversation Outcomes

Track every session — browse thread inbox, view AI analysis, executive summaries, action items, and compliance status.

07 One-Click Deploy

Embed to Your Site

Copy a single script tag, paste it before </body>, and your voice + chat agent goes live — on any website, instantly.

Conversation Intelligence

Every conversation ends with a record, not a transcript

When a conversation finishes, a reviewer fills structured fields — score, tags, action items, knowledge gaps, and any custom fields you add — then can save records and run follow-ups in your tools.

  1. Conversation ends

    The visitor closes the chat or hangs up the call.

  2. A reviewer reads it

    A dedicated reviewer goes through the entire transcript, start to finish.

  3. Fields get filled

    Score, tags, action items, knowledge gaps — plus any custom fields you define.

  4. Actions can run

    Save a lead or ticket, or trigger a follow-up in your connected apps.

What you get back

Extract what matters — then do something with it

Built-in fields like score, tags, action items, and knowledge gaps keep every conversation comparable. Add your own fields when you need more. Then let the reviewer write to a datastore or call your connected apps.

  • Score, tags, action items, knowledge gaps
  • Custom fields you define for your business
  • Save leads, tickets, and feedback to a datastore
  • Trigger follow-ups in connected apps

Conversation record

Pro plan enquiry · 40 seats

Follow-up

Summary

Visitor is evaluating the Pro plan for a 40-person team and wants both chat and voice on their site. Asked for a walkthrough this week and left an email.

Sentiment

Positive

Goal met

82

Next steps

  • Send the 40-seat Pro quote to Priya High
  • Book the walkthrough for Thursday Medium

Could not answer

"Do you offer annual invoicing?"

pricingvoicedemo-requestteam-plan

Actions taken

  • Lead saved to datastore
  • Follow-up drafted in connected email

Custom fields

Start with summary, score, tags, action items, and knowledge gaps — or add your own fields that match how your team works.

Write to your datastore

After the conversation, create or update leads, tickets, feedback, and bookings automatically.

Act in connected apps

Draft email follow-ups, notify a channel, or sync a CRM record — using the same tools your agent already has.

Integrations

Connect your business stack

Give your AI agent safe tools for the work behind each conversation: draft Gmail follow-ups, look up Shopify products, save HubSpot leads, notify teams, and run calendar workflows.

Gmail
Shopify
HubSpot
Salesforce
Mailchimp
Slack
Notion
Google Calendar
Intercom
Jira
Stripe
Zendesk

And many more — over 1,000 apps you can connect in one click

Request an Integration
Test Only

Your first friendly agent
is about 10 minutes away.

We’re in a public test — jump in, build a chatbot or voice agent, and forgive a few rough edges. Data may reset.

Test environment · No credit card required

Transparent Pricing

Fair pricing based on how you actually use AI

Chat-based sessions are priced dynamically per AI credits — or skip those credits with your own OpenRouter key. Voice-based sessions are priced per session with dedicated minute allotments.

Chat: AI credits, or your OpenRouter key
Voice: Priced per session

Free

BYO key

$0 /month

For testing a first website AI agent with your own model key.

Chat with your own OpenRouter key (no AI credits)
50 knowledgebase searches/mo
30 datastore writes/mo
20 integration calls/mo
Website chat embed
Signup

Starter

200 AI credits

$9.99 /month

For small businesses adding support, leads, and feedback to a site.

200 AI credits/mo (chat-based)
Or bring your OpenRouter key — no AI credits
Voice priced per session (1,000 mins)
500 knowledgebase searches/mo
1,000 datastore writes/mo
200 integration calls/mo
Signup
Most Popular

Pro

800 AI credits

$49 /month

For growing teams using Embage as a daily AI receptionist.

800 AI credits/mo (chat-based)
Or bring your OpenRouter key — no AI credits
Voice priced per session (10,000 mins)
5,000 knowledgebase searches/mo
10,000 datastore writes/mo
2,000 integration calls/mo
Signup

MAX

2,000 AI credits

$199 /month

For high-volume support, sales, and voice-to-voice operations.

2,000 AI credits/mo (chat-based)
Or bring your OpenRouter key — no AI credits
Voice priced per session (40,000 mins)
50,000 knowledgebase searches/mo
100,000 datastore writes/mo
20,000 integration calls/mo
Signup

Chat by AI Credits vs Voice by Session

A 2-message FAQ chat shouldn't cost the same as a 20-minute phone call. Embage charges chat-based sessions per AI credits (200 credits on Starter, 800 on Pro, 2,000 on MAX) so short interactions consume fractional credits — or paste your OpenRouter key and skip those credits. Voice-based sessions are handled per session with generous minute quotas.

Talk to Sales

Billing Breakdown

Per-session fees vs Embage AI Credits

Tiny FAQ chat

2 messages: What are your hours?

Per-session Chat

A flat session fee overcharges tiny 2-message chats.

Embage AI Credits

Priced by AI credits: only minimal credits used, no flat chat fee.

Full support workflow

20 messages + KB search + ticket write + Gmail follow-up

Per-session Chat

Flat pricing hides real work and forces high blended averages.

Embage AI Credits

Transparent credits: uses AI credits for chat + metered action caps.

FAQ

Questions searchers ask before they try Embage

Clear answers for offices and merchants evaluating secure AI receptionists.

Embage is a friendly no-code AI agent and chatbot builder for websites. You can create chat or voice agents that answer from your knowledge, execute workflows with sub-agents, and integrate with your favorite tools — great for support, reception, lead capture, bookings, and more.

Get In Touch

Want a hand building your AI agent?

Say hello — we’d love to chat about chatbots, voice agents, custom subagents, or rolling Embage out for your team.

Email us

Direct line to our founding team

support@embage.com

Response time

We reply to every inquiry within 24 hours