The brain powering all GTM activities. This engine operates on a connected dataset, accessible through a Retrieval-Augmented Generation (RAG) framework.
The core dataset:
It continuously improves by learning from real-world GTM activity, creating a closed feedback loop between strategy and execution.
Sales triggers and intent data from outreach performance.
Transcripts of sales calls (online, phone, and voice note captures from offline meetings).
Content interactions and reply pattern analysis.
Outreach findings that reveal what messaging lands and what falls flat.
The engine starts lean and grows with every interaction. AI is only as effective as the quality of the data behind it.