AI TrustMark

IoT AI companies, products & suppliers

AI across IoT estates (device fleets, telemetry, actions), not a single wearable or an edge runtime. Jobs: fleet anomaly; predictive of devices; actuation policies.

What is IoT AI?

AI across IoT estates (device fleets, telemetry, actions), not a single wearable or an edge runtime. Jobs: fleet anomaly; predictive of devices; actuation policies.

What problems does it solve?

Device fleets still dump telemetry nobody can act on.

Typical business use cases

  • Fleet anomaly
  • Predictive of devices
  • Actuation policies

Important capabilities

  • Ingest
  • Device identity
  • Actuation

What buyers should evaluate

  • Actuation rights
  • Where telemetry goes
  • Device identity

Risks and governance considerations

An actuation policy that bricks or unlocks devices at scale.

Procurement checklist

  • Actuation
  • Telemetry residency
  • Identity

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.

  • ABB Genix Copilot

    By ABB

    ABB Genix Copilot adds generative AI to the ABB Genix Industrial IoT and AI Suite, letting executives, specialists and shop-floor engineers ask questions about operational data in

  • AWS IoT Greengrass

    By Amazon Web Services

    AWS IoT Greengrass is an open-source edge runtime and AWS cloud service for building, deploying and managing software on IoT devices. Developers assemble device software from prebu

  • C3 AI Field Services

    By C3 AI

    C3 AI is an enterprise artificial intelligence software company based nearby in Redwood City, California. C3 AI Field Services is C3 AI's software product, from C3.ai, Inc. Publish

  • IBM Maximo Application Suite

    By IBM

    IBM Maximo Application Suite is an asset and facilities management platform that brings maintenance, inspections, reliability and investment planning together for critical equipmen

  • 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

  • Senseye Predictive Maintenance

    By Siemens

    Siemens: A global technology leader driving innovation in industry, infrastructure and mobility through digital transformation. Senseye Predictive Maintenance is Siemens's software

  • 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 IoT AI?

AI across IoT estates (device fleets, telemetry, actions), not a single wearable or an edge runtime. Jobs: fleet anomaly; predictive of devices; actuation policies.

What should not be listed as IoT AI?

Products whose buyer job is edge inference, wearable AI, or smart-device AI as a consumer product. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every IoT AI supplier?

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

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.

What security testing evidence should buyers request for an AI product?

Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.