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Grounded Intelligence.
Any Agent. Any Team.

Once the Intelligence Warehouse is built, every team gets conversational intelligence, and every agent you build connects through MCP to the same source of truth.

Every role across the enterprise asks questions in natural language, and gets answers grounded in the same graph.

Ask a follow-up question…

Build Once. Power Every Agent.

Your Intelligence Warehouse exposes the entire decision graph as an MCP server. Any agent you build, in any team, any function, connects to the same source of truth. No retraining. No re-prompting. Just plug in and go.

Intelligence Warehouse MCP Server
Claude / Anthropic
GPT / OpenAI
Custom Agents
Slack / Teams
BI Dashboards
Internal Tools
resolve_entity
Resolve any business entity to its full graph hierarchy
GlowMax Men 50ml → GXM-50 → Men’s Grooming → Skin Care
compute_metric
Compute any codified metric at any granularity
sell_through(SKU=GXM-50, zone=North) → 22%
evaluate_rule
Run a decision rule and get action + authority chain
D1(GXM-50, North) → markdown 10% → ZSM approves
traverse_path
Walk from any node to any related decision
DOI(GXM-50) → D1 triggers → exceptions → authority
Any Team, One Graph Sales, supply chain, finance, ops, every agent draws from the same rules, same thresholds, same authority chains. Build an agent in the morning, it’s grounded by afternoon.
Model-Agnostic Swap Claude for GPT for Gemini. The intelligence stays in the warehouse, not the prompt. Zero knowledge loss on model switch.
Audit Everything Every traversal logged, which entities resolved, which rules fired, which authority approved. Board-level governance built in, not bolted on.

Build the Foundation
Your AI Agents Need

Stop building agents on fragmented context. Start with the infrastructure layer that makes AI actually work.