AI TrustMark

Digital twins companies, products & suppliers

Living models of a named asset or system bound to live data, not a one-off simulation or a synthetic training world. Jobs: asset twins; live telemetry binding; what-if on the twin.

What are Digital twins?

Living models of a named asset or system bound to live data, not a one-off simulation or a synthetic training world. Jobs: asset twins; live telemetry binding; what-if on the twin.

What problems does it solve?

Operators still cannot see the asset they run except in SCADA and a drawing.

Typical business use cases

  • Asset twins
  • Live telemetry binding
  • What-if on the twin

Important capabilities

  • Named asset
  • Live data
  • Version of the twin

What buyers should evaluate

  • Named asset vs generic sim
  • Data binding
  • Who trusts the twin

Risks and governance considerations

A dashboard labelled 'twin' with no live binding.

Procurement checklist

  • Named asset
  • Live data
  • Owner

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • AWS IoT TwinMaker

    By Amazon Web Services

    AWS IoT TwinMaker is an AWS service for creating digital twins of real-world systems such as factories, remote facilities and commercial buildings. It connects to existing IoT, vid

  • Ansys Twin Builder

    By Ansys

    Ansys Twin Builder, now part of Synopsys, is a platform for building, validating and deploying simulation-based digital twins. Engineers can model and simulate virtual system proto

  • iTwin Experience

    By Bentley Systems

    Providing architects, engineers, constructors, and owner-operators with comprehensive architecture and engineering solutions for advancing infrastructure. iTwin Experience is Bentl

  • C3 AI Asset Connect

    By C3 AI

    C3 AI is an enterprise artificial intelligence software company based nearby in Redwood City, California. C3 AI Asset Connect is C3 AI's software product, from C3.ai, Inc. Publishe

  • 3DEXPERIENCE

    By Dassault Systèmes

    3DEXPERIENCE is Dassault Systèmes SE's product development and digital twin platform. Dassault Systèmes describes it as bringing virtual companions, collective intelligence and sci

  • ArcGIS Reality for ArcGIS Pro

    By Esri

    ArcGIS Reality for ArcGIS Pro brings Esri's reality mapping into the ArcGIS Pro desktop. It generates digital surface models, true orthos, DSM meshes, point clouds, 3D meshes and G

  • Azure Digital Twins

    By Microsoft

    Azure Digital Twins is Microsoft's IoT platform for creating live digital models of physical environments such as buildings, factories, energy networks and cities. It models relati

  • NVIDIA Omniverse for Digital Twins

    By NVIDIA

    NVIDIA sells GPUs, CUDA software and AI enterprise stacks used for training and inference. Public pages cover data-centre, cloud and on-prem AI compute. NVIDIA Omniverse for Digita

  • PD Replica

    By Parallel Domain

    Parallel Domain generates photorealistic synthetic data and simulation to train and validate perception systems for autonomous vehicles, robotics, and AI. PD Replica is Parallel Do

  • Digital Twin Composer

    By Siemens

    Digital Twin Composer is Siemens software for building and operating industrial metaverse environments, unveiled at CES 2026. It combines 2D and 3D digital twin information with re

  • ThingWorx

    By Velotic

    Velotic is an industrial software company combining Proficy manufacturing execution, Kepware connectivity and ThingWorx industrial IoT. Public pages describe plant data, MES and AI

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Digital twins?

Living models of a named asset or system bound to live data, not a one-off simulation or a synthetic training world. Jobs: asset twins; live telemetry binding; what-if on the twin.

What should not be listed as Digital twins?

Products whose buyer job is industrial simulation, synthetic environments, or infrastructure modelling as design. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Digital twins supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What are Digital twins?

Living models of a named asset or system bound to live data, not a one-off simulation or a synthetic training world. Jobs: asset twins; live telemetry binding; what-if on the twin.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.