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Anand Creations AI
All work
LumApps · B2B SaaS · Intranet platform

The AI Brain behind every GTM agent

Part of GTM with AI
Python Neo4j Graphiti Pub/Sub GCP FastAPI
data sources unified · one shared graph
The problem

Every GTM agent — outbound, expansion, marketing-to-sales, collateral — was re-discovering the world on each run. Account research re-scraped sites it scraped last week. The expansion-signal agent had no idea the prospect-research agent already noted the CEO change. Salesforce, HubSpot, Pendo, conversation transcripts, platform usage, health scores — each in its own silo. Duplicated cost, stale context, contradictory answers, zero institutional memory across agents.

The approach

Designed and shipped a central AI Brain: Graphiti on Neo4j 5, entities and facts stored with time validity so the graph answers what was true on date X and what changed. Event-driven ingest via Pub/Sub from Salesforce, HubSpot, Pendo, customer conversations, platform usage, and health scores. Query API every agent calls before and during its work; write-back contract so every agent commits what it learned. Freshness and confidence layer flags stale facts for re-fetch.

The result

A single shared brain underneath every GTM agent: outbound, expansion, marketing↔sales, collateral. Agents start each run grounded in the latest truth across the business instead of re-scraping. The substrate that surfaces the invisible patterns — account changes, signal correlations, history — no single source could see on its own.

How you'd scope this today

A shared context layer that several agents depend on is a Build engagement with a Fractional AI lead tail to keep the schema and ingest contracts coherent as new agents come online. Start with an Assessment to pick the right ontology and ingest sources for your stack before any code lands.

Behind on AI and not sure where to start?

Book a 30-minute call. I'll tell you what's worth building, what isn't, and whether I'm the right person for it.