
THE brıef
Pull everything known about this account — their tech stack, funding history, leadership team, recent news, competitor relationships, active job postings, and buyer intent signals. Organize it into a one-page briefing doc ready for the AE before the first meeting. Flag the three things most likely to matter in this conversation.
Today
Rep opens 6 browser tabs — LinkedIn, Crunchbase, G2, news search, CRM, competitor site
Research quality depends on how much time the rep spends and what they think to look for
No system for surfacing the 3 things that actually matter in this specific conversation
Research done once before the first meeting. Stale within weeks.
AE walks into the meeting with generic industry knowledge and hopes the account hasn't changed

With ABM Strategist
40+ sources queried simultaneously. Structured output in under 3 minutes.
Consistent depth across every account. Same sources, same structure, no gaps based on rep thoroughness.
Key observations ranked by relevance to the deal. Context translated into talk tracks, not just facts.
Continuous monitoring. AE notified when a leadership change, competitor move, or intent surge happens.
AE walks in with this week's intelligence — who's who, what just happened, and what angle to lead with.
Data Waterfall
150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine
Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology
Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

How long does a research run take?
What sources does it pull from?
Can I customize what the briefing doc includes?
How is this different from just using ChatGPT to research an account?
Does it update automatically when deal stage changes?






