The Enterprise Brain

Build one enterprise context graph. Every workflow, agent, and app inherits it.

What your systems know, who may act, and what they can do — unified once and governed by the Enterprise Brain. Every project after the first starts from work already done.

The problem

Most enterprise AI never reaches production — because the systems it needs don't talk to each other.

MIT puts it at roughly 95% of enterprise AI never reaching production value, against $40B+ invested. Customer records sit in the CRM, orders in the ERP, approvals in email and tickets, and every new use case has to rediscover all of it from scratch. The answer is one layer of context underneath them — intelligence that compounds, so every project after the first inherits it.

THE ENTERPRISE CONTEXT GRAPH

Bring all your existing business systems together once, into a unified context graph.

Connect every customer, employee, order and ticket into one model — with the relationships, permissions and actions already built in.

THE ENTERPRISE CONTEXT GRAPH (Enterprise Brain)THE ENTERPRISE CONTEXT GRAPH (Enterprise Brain)
01

Connect the systems of record

02

Resolve entities across them

03

Link relationships and meaning

04

Inherit permissions and controls

05

Compound with every use case

Connect the systems you already run with 1,000+ prebuilt connectors — CRM, ERP, HCM, warehouses, document stores, ITSM. Nothing gets ripped out and replaced.

How the layers fit

One graph holds what your systems know, who may act, and what can be done.

Click a layer to see what it does inside the graph, or open its own page for the full detail.

Horizontal AI Operating System.AI ModelsComplianceToolsIdentity Access SystemsUNIVERSAL GOVERNANCECONTEXTModelManagementObservabilityComplianceAuditingEvaluationGovernance AGENT & APP BUILDER CANVASWorkflowsSDLCAgentsSDLCAppsSDLCUNIVERSAL KNOWLEDGE CONTEXT Enterprise Brain: Ontology + Knowledge GraphYOUR ENTERPRISE,PLUGGED INStructuredData ChassisUnstructuredData ChassisAgenticData ChassisPlug in CRM, ERP, ITSM, and other systemsHook up internet/slack/teams/emails and othersAgent to Agent Interface for dataUNIVERSALACTIONABILITYCONTEXTSystems of WorkSystems of Record3rd Party Agentic ActionsSlack, email, calendar, etc.Hook up CRM / ERP, etc.A2A Interface for Action
The results

Where one enterprise context graph shows up in the business.

One governed layer under every project — and five places the business feels it: revenue, risk, cost, speed and control.

RevenueRevenue

Accelerate revenue cycles Shorten every cycle where back-office latency is the constraint — quotes, onboarding, collections, fulfilment.

GovernanceGovernance

Keep control as AI spreads Enforce RBAC and human approval, keep a full audit trail, and see model and agent usage centrally in one place.

RiskRisk

Catch problems earlier Detect issues sooner, apply controls consistently, and defend every decision after the fact.

CostCost

Lower marginal cost for every subsequent AI deployment Retire overlapping point solutions and bring token spend down with them.

SpeedSpeed

Ship new AI use cases in days that work at scale Roll out each new use case faster once the first ones are live.

Build the context once. Reuse it everywhere.

Bring the workflow that hurts most and two of the systems it touches. In one working session we'll build one trusted record from your own data.

Security & Compliance

Industry-leading security and privacy standards.

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