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Unify enterprise data in real time and connect it to AI.

One semantic model and a living knowledge graph give people and AI agents the same trusted business context, without moving or exposing your data. It extends our data integration and master data management services.

01Key capabilities

One trusted view of the business, ready for AI.

/ 01

One semantic model

Shared definitions of customer, product and event across the business.

/ 02

Living knowledge graph

Structured and unstructured data, continuously updated.

/ 03

Entity resolution

Extraction, resolution and metadata enrichment.

/ 04

Sovereign by design

Runs on-premise; data stays on your infrastructure.

02How it works

From scattered sources to agents that act.

  1. STEP 1

    Enterprise data sources

    Network, billing, CRM, transactions, documents.

  2. STEP 2

    Processing & extraction

    Cleansed, resolved and enriched in place.

  3. STEP 3

    Semantic layer & graph

    One model of the business, always current.

  4. STEP 4

    Activate: agents & apps

    AI agents, dashboards and applications act on it.

03Benefits by sector

What it does for your sector.

One view of each subscriber across network, billing, CRM and DPI data.

  • Churn and next-best-offer models fed with live network data
  • Network and customer teams working from the same numbers
Use cases
Subscriber 360Churn predictionNetwork & transaction data integration
More for telecom operators →
04 · Business benefits

One trusted view of the business, faster and explainable decisions, and data that is ready for AI.

See Data Orchestration running on your own data.