One record. Complete context.
The Revenue Ontology maps your 1st party data, 3rd party enrichment, warehouse, and agent outputs into a single GTM record per account and contact. So when AI reasons about your customers, it sees everything.
1
Your GTM data lives in 20 systems.
CRM knows deal history. Product knows usage. Support knows tickets. Marketing knows engagement. Enrichment knows firmographics. No system has the full picture.
2
Your AI only sees fragments.
Ask your AI about an account and it sees CRM data—but not that they're a power user, filed 3 support tickets last week, and just got acquired. Incomplete context = bad outputs.
3
Stitching it together manually doesn't scale.
You can build dashboards and reports. You can't give an LLM real-time access to everything it needs to reason about 50,000 accounts.
Account Research Agent
Sees complete history—deals, usage, support, signals—not just firmographics
Champion Tracker
Knows employment history and relationship context
Account Scoring
Scores based on complete picture—fit, intent, engagement, product usage
Personalized Outreach
Writes emails with full context on the recipient and their company
Sarah Chen
VP of Revenue Operations
