.// Context Engine

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.

  • 300+ Connectors
  • Real-time Sync
  • Semantic Layer
  • Relationship Mapping
  • Entity Resolution

300+

Enterprise systems connected

<100ms

Context retrieval latency

Real-time

Continuous data ingestion

.// Live Data Graph

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
.// Semantic Understanding

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
.// Context Intelligence

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.

sync

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
relationships

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
definitions

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
.// The Foundation

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.

Enterprise connectors
300+
Relationships mapped
50M+
Query latency
<100ms
Uptime SLA
99.9%
.// Get Started

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.

Map your ecosystem

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

Request a demo

Explore integrations

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

View integrations