SHEET 01Context EngineCTX

Every system connected. Every relationship mapped.

The Context Engine ingests, indexes, and maps relationships across 300+ enterprise systems, giving every agent a complete understanding of your organization. No more siloed data. No more incomplete answers. Every agent operates with unified context.

Map your enterprise data Platform architecture
  • 300+ Connectors
  • Real-time Sync
  • Semantic Layer
  • Relationship Mapping
  • Entity Resolution
300+Enterprise systems connected
<100msContext retrieval latency
Real-timeContinuous data ingestion
SHEET 02Live Data GraphINGEST

Continuously ingests and maps your entire enterprise ecosystem.

The Context Engine connects to ERP, CRM, HRIS, finance, support, and collaboration tools, ingesting structured data and unstructured communications in real-time. It builds a live semantic graph of entities, relationships, and events.

When a procurement agent processes an invoice exception, it already knows the contract terms, vendor history, approval chain, and spend thresholds, because the Context Engine mapped those relationships before the agent was ever invoked.

No manual data pipeline configuration. No CSV uploads. The engine discovers schemas, resolves entities, and builds the graph continuously as your systems change.

See how it works
Source systems to entity graphLive
SOURCESENGINEENTITY GRAPHCRMSalesforce, HubSpotERPSAP, OracleHRISWorkday, BambooHRFinanceNetSuite, QuickBooksContextEngineSEMANTIC GRAPHCustomers2,847 mappedContracts1,203 mappedEmployees4,521 mappedTransactions48,302 mapped

4 source classes 4 resolved entity types continuous sync

SHEET 03Semantic UnderstandingRESOLVED

The engine understands what the data means in your business.

Raw data is noise. The Context Engine transforms it into understanding. Business definitions encode what terms actually mean in your organization. Organizational hierarchies map reporting structures. Process flows capture how work actually gets done.

Domain terminology connects technical concepts to business outcomes. All of this lives in the semantic layer, enabling agents to reason like domain experts, not generic language models.

When an agent encounters “acct_mgr_id” in your CRM, it doesn't just see a foreign key. It understands this is an Employee who manages Customers, belongs to Teams, and generates Reports.

See semantic layer in action
Field resolution map4 mappings
Raw FieldMapped EntityLinked To
cust_idERPCustomer
  • Invoices
  • Contracts
  • Support Tickets
acct_mgr_idCRMEmployee
  • Customers
  • Teams
  • Reports
po_numberProcurementPurchase Order
  • Vendor
  • Contract
  • Budget Line
case_refSupportSupport Ticket
  • Customer
  • Product
  • SLA

Entity resolution foreign keys discovered across systems

SHEET 04Context IntelligenceCAP-01..03

Three pillars of unified enterprise context.

The Context Engine powers both the Agentic BI agent and every other intelligent agent on the platform with a single, unified semantic layer.

CAP-01Active

Real-Time Sync

Continuous ingestion from your enterprise systems, not batch processing. Live updates flow into the semantic graph as data changes.

  • Sub-second propagation
  • Change-data-capture
  • Conflict resolution
  • Audit trail logging
CAP-02Active

Cross-System Relationships

Connect entities across siloed systems. Link customers to contracts to usage data to support tickets — all mapped automatically.

  • Entity resolution
  • Foreign key discovery
  • Implicit relationship inference
  • Bi-directional traversal
CAP-03Active

Business Definitions

Encode what terms actually mean in your organization. Business rules, hierarchies, and domain terminology power smarter agent reasoning.

  • Custom taxonomies
  • Org hierarchy mapping
  • Domain glossaries
  • Policy rule encoding
SHEET 05The FoundationASSEMBLY

One context layer powers every agent.

Every agent on the platform, whether pre-built or custom, operates with the same rich context. No manual configuration per agent. No duplicated context layers. One semantic graph, one unified understanding, infinite agents that all reason with enterprise expertise.

L01

Applications

Agent BuilderCanvasData AnalysisVoice AI
L02

Context Engine

Semantic GraphEntity ResolutionRelationship MappingBusiness Rules
L03

Data Sources

CRM SystemsERP PlatformsHRIS ToolsFinance & Support
300+Enterprise connectors
50M+Relationships mapped
<100msQuery latency
99.9%Uptime SLA
SHEET 06Specification NotesFAQ

Questions teams ask about the Context Engine

What is a context engine?

A context engine ingests data from multiple enterprise systems, maps relationships between entities, and builds a unified knowledge graph. This gives AI agents deep organizational understanding — not just document retrieval, but real cross-system intelligence.

How many systems can the Context Engine connect to?

The Context Engine supports 300+ pre-built connectors for enterprise systems including ERPs (SAP, Oracle, NetSuite), CRMs (Salesforce, HubSpot), collaboration tools (Slack, Teams), databases, and document repositories. Custom connectors are available via REST APIs.

How fast is context retrieval?

The Context Engine delivers sub-100ms retrieval latency for most queries. Real-time sync ensures agents always work with current data, and the semantic layer provides consistent business definitions across all connected systems.

How is the Context Engine different from RAG?

Basic RAG retrieves relevant document chunks. The Context Engine goes further — it maps relationships across systems, resolves entities across data sources, maintains a semantic layer with business definitions, and provides structured context that enables multi-step reasoning.

Can the Context Engine work with on-premise data?

Yes. The Context Engine supports on-premise, cloud, and hybrid deployments. Data can remain in your infrastructure while the semantic layer and relationship mapping operate locally, ensuring sensitive data never leaves your environment.

SHEET 07Get StartedREADY

See unified context in action.

Walk through how the Context Engine ingests your systems and builds the relational intelligence that powers every intelligent agent on the platform.

See your systems connected Architecture deep dive
Layer
Context Engine · Data infrastructure
Coverage
300+ systems · Real-time sync
Retrieval
Sub-100ms · 99.9% uptime SLA
Sheet
07 of 07 · Context

Map your ecosystem

See how the Context Engine discovers and connects relationships across your entire organization.

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Explore integrations

Learn which systems the Context Engine connects to and how ingestion happens in real-time.

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