One system for signals, knowledge, and enabling AI execution
Finance is in QuickBooks. Sales is in HubSpot. CS is in Intercom. Decisions are buried in Slack, Gmail, Notion, GitHub, and people's heads.
Centraligence connects these signals, structures the knowledge, and makes it usable before decisions are made.
Each layer feeds the next. The system gets smarter every day it runs.
Reads every business function on a schedule. Surfaces cross-functional Risks, Opportunities, and Tensions with full evidence. Delivered to your desk. You never had to ask.
Slack threads, Gmail conversations, Notion pages, GitHub issues, policies, decisions, and repeated patterns all hold pieces of how your company works. Centraligence extracts that knowledge, proposes structured nodes, asks humans to confirm what matters, and builds a living Company Brain your agents use before every analysis cycle.
Turns confirmed company knowledge into a queryable skills layer so internal and external AI agents work with company-specific context instead of generic instructions.
No migration. No disruption. Centraligence connects to your existing stack and reads it silently. Every signal flows in. One brief comes out.
Centraligence reads across finance, sales, customer success, people, and market data, then surfaces the risks, opportunities, and tensions that need attention.
Company context is pulled from Slack, Gmail, Notion, Linear, and ongoing observations, then turned into confirmed knowledge your company can reuse.
Humans still make the call. Centraligence stores the decision, evidence, assumptions, and outcome, so the company does not lose context after the meeting ends.
Confirmed company knowledge becomes skills your AI agents can use, so agents execute with company context instead of generic instructions.
Centraligence is in private alpha with a small group of operating teams. Tell us about yours and we'll be in touch within 24 hours.