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Living Digital Twins

The open context layer for operational intelligence

Garnet Framework creates a living model of your operations. It connects people, assets, events, places, and business records so applications, analytics, digital twins, and AI systems share the same current, historical, and spatial context.

Explore Garnet FrameworkView on GitHub

Garnet Framework 2.0 coming soon. We are rebuilding the context broker.

awslabs/garnet-frameworkETSI NGSI-LDMIT-0

How it works

Connect operations once. Reuse context everywhere.

Garnet Framework turns relevant facts from existing systems into one live, connected model without taking ownership away from those systems.

  1. 01

    Connect

    Any operational or business source

    Map the facts that matter from CRM, ERP, SCADA, IoT platforms, APIs, databases, sensors, and event streams.

  2. 02

    Contextualize

    One living operational model

    Link people, assets, events, places, and business records with stable identities, relationships, time, location, and metadata.

  3. 03

    Reuse

    Applications, analytics, twins, and AI

    Query, subscribe to, analyze, and enrich the same context while source systems remain authoritative.

Domain-independent by design

One foundation. Your domain model.

NGSI-LD defines how context is represented and exchanged. Your solution defines what the entities mean, which rules apply, and how the application behaves.

NGSI-LD

Shared foundation

Entities, properties, relationships, metadata, time, location, queries, subscriptions, and history.

Your domain

Defined by your solution

Domain types, vocabulary, validation, ownership, permissions, workflows, and application behavior.

One framework, across domains
  • Airlines
  • Energy
  • Customer operations
  • Manufacturing
  • Automotive
  • Supply chain
  • Buildings
  • Utilities
  • Finance
  • Your domain

What applications receive

Live now. Traceable over time.

Current context, change notifications, and history remain part of the same model, so every consumer can work from consistent operational evidence.

01

Understand now

Query the latest state and follow explicit relationships across the living model.

02

React to change

Notify applications when relevant context changes or matches a condition.

03

Retain and enrich

Analyze history in the data lake and publish derived insight back with provenance.

Open by designETSI NGSI-LD · open source · deploys in your AWS account
Explore the architecture

Start with one question

Prove the context. Then expand.

Model only the identities, state, relationships, time, and location needed to answer one valuable operational question.

Evaluation guidanceDeployment guide