Why a context layer
Your customer context is your most valuable proprietary asset. It’s also scattered across systems that were never designed to reconcile with each other. Go-to-market has no codebase and no contract — only a history of artifacts. Ask an AI assistant about a deal today and it reconstructs state from whatever it can find, which means confident answers built on a stale snapshot. Deal Brain turns that history into living institutional memory, covering both kinds of knowledge:- Documented knowledge — calls, email, CRM records, Slack, and workspace docs
- Hidden knowledge — the strategy, coaching, and corrections your sellers carry in their heads, written back into the system as they work
It knows how you sell
A generic memory layer can tell you what was said. Deal Brain is indexed for the sales process itself, so it can tell you what that means for the deal:Your playbook
Your methodology, stage criteria, and qualification rules — so answers reflect how your team sells, not generic advice.
Your signals
Extraction rules you define, so the patterns your team tracks get found automatically across every call and thread.
Deal state
Position, risks, stakeholders, and path forward — reconciled continuously rather than snapshotted.
Your CRM fields
Champion, economic buyer, and every custom field you track, with proposed updates cited back to the source.
Open by design
Deal Brain is infrastructure, not an app you have to live in. Everything is reachable through open interfaces, so it fits the tools your team already uses:- MCP — talk to Deal Brain from Claude, ChatGPT, or any MCP-capable tool
- REST API — build dashboards, agents, and internal tools on the same data
Where to go next
I'm a seller
Run your first prompts and see what Deal Brain unlocks in your AI platform.
I'm an admin
Connect your context sources and configure Deal Brain for your team.
I'm a developer
Build on Deal Brain over MCP or the REST API.
Not yet using Deal Brain? Talk to us.

