Visual Feature Breakdown

Engineered for real-world business automation

Explore every core feature graphically — from modular sub-agent task routing and custom datastore schemas to SaaS app integrations and post-conversation background 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 Architecture

Modular Sub-Agent Mesh

Main Agent Hub Active
Main Agent Hub

Orchestrator Agent

Parses visitor intent, handles conversation memory, and delegates specialized tasks to target sub-agents.

Task Router: Knowledgebase Sub-Agent
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 Follow-Through

Post-Conversation Workflow Sub-Agent

Triggered On Call/Chat End
01

Transcript Analysis & Sentiment

Extracts main user intents, resolution score, and sentiment tags.

Automated background task
02

Datastore Record Creation

Auto-saves lead information, tickets, or feedback rows into Datastore.

Automated background task
03

Email Summary Dispatch

Sends automated session summaries to team reps and visitors.

Automated background task
04

Webhook & CRM Sync

Fires custom webhooks to update Slack channels and HubSpot deals.

Automated background task
Pillar 03

Dual RAG & Article Knowledge Engine

Combine broad semantic vector search across large documents with pinpoint article-level matching. Your agent gives accurate answers directly from your official documentation.

Zero-Hallucination Retrieval

Dual RAG & Article 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 / String

lead_score

Qualification

Integer / Rating

budget_tier

SaaS Plan

Enum / Options

status

State

Status / Enum

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

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
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