The Vridhi GTM Engine

A deterministic GTM operating system for B2B / AI startups. Instead of campaigns, you get infrastructure: one integrated architecture that turns cold data into qualified pipeline.

[ Data ] → [ Messaging ] → [ Sending ] → [ Revenue Intelligence ]
     ▲                                      |
     └────────────── [ Orchestration ] ─────┘

Who this blueprint is for

B2B / AI founders who want GTM to behave like infrastructure, not campaigns.

What this page gives you

A public schematic of The Vridhi GTM Engine: architecture, core pipelines, and how we plug into your stack.

1. GTM Architecture (2-minute skim)

Data Layer: Clean, enriched, de-duplicated contact and account graph.
Messaging Layer: Narrative, offer, and message blocks mapped to every segment.
Sending Layer: Sequences delivered via email and LinkedIn with domain-safe constraints.
Orchestration Layer: n8n-style workflows gluing everything into one observable system.

Visual Flow: Cold → Pipeline

2. The Stack: Layers and Responsibilities

Below is the reference architecture for The Vridhi GTM Engine. Tools are examples; responsibilities are fixed.

Layer	Responsibility	Typical Stack
Data Layer	Who enters the system and why.	Clay, Apollo, CRM
Messaging Layer	Narrative and offer mapping.	Notion, Google Docs
Sending Layer	Deliverability and domain health.	Instantly, Smartlead
Orchestration Layer	Triggers, routing, and recovery.	n8n, Make, Zapier

View full engineering notes →