Enterprise Context Graph by Default

Ensure every insight and action is grounded in real business knowledge:

Enterprise Data Management:
Unify structured enterprise data across ERP, CRM, commerce, and operational systems.

Enterprise Knowledge Graph:
Connect entities, relationships, and events into a single live business model.

Industry-Specific Knowledge Graphs:
Apply domain semantics that reflect how your industry actually operates.

Unified Data, Files, and Digital Assets

Bring structured and unstructured information together:

Enterprise Data, Files, and Documents:
Link tables, records, PDFs, images, and files directly to business entities.

Live Relationships & Lineage:
Preserve meaning, history, and source references across all data types.

No Heavy Data Migration:
Context is built without duplicating or disrupting source systems.

ELT-Native Context Ingestion

Build live business context without brittle pipelines:

ELT-First Data Synchronization:
Load raw data first, then transform within the context layer to preserve meaning and flexibility.

Schema Evolution by Design:
Adapt automatically as source systems change, no pipeline rewrites or downstream breakage.

Context-Aware Transformations:
Transformations are traceable, reversible, and grounded in business entities, not static tables.

Explorable Context for Humans and AI

Make enterprise knowledge visible and actionable:

Data Visualization & Exploration:
Interactively explore data, relationships, and business objects.

Graph-Based Views:
Understand dependencies, impacts, and connections across systems.

Shared Understanding Across Teams:
Executives, analysts, and AI agents reason from the same context layer.

Context-Grounded by Design

Syntes AI eliminates ambiguity and guesswork:

Live Context Updates:
Business context evolves automatically as data changes.

No Assumed Relationships:
If data or relationships are missing, they are explicitly flagged.

Source-Linked Context:
Every insight and decision traces back to underlying data and documents.