AI TrustMark

Model governance companies, products & suppliers

Model governance covers the lifecycle of a named model: lineage, evals, approvals, monitoring and retirement. It is aimed at ML and LLM operations teams. It is narrower than enterprise AI governance and should not be merged with responsible-AI policy suites.

What is Model governance?

Model governance covers the lifecycle of a named model: lineage, evals, approvals, monitoring and retirement. It is aimed at ML and LLM operations teams. It is narrower than enterprise AI governance and should not be merged with responsible-AI policy suites.

What problems does it solve?

Models reach production without version identity, eval evidence or an owner.

Typical business use cases

  • Model registry
  • Approval gates
  • Drift monitoring
  • Retirement

Important capabilities

  • Registry
  • Evals
  • Lineage
  • Access control

What buyers should evaluate

  • Does it identify models uniquely?
  • Eval honesty
  • Production hooks

Risks and governance considerations

Registry entries that lag the live endpoint.

Procurement checklist

  • Unique model IDs
  • Eval datasets
  • Production sync
  • RBAC

Relevant AI Trustmark assurance

A model card in a registry is supplier or operator documentation unless independently sampled.

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.

  • AI governance advisory and free AI risk calculatorClaimed

    By PolyGovern

    PolyGovern is an AI governance advisory firm for regulated and public-sector organisations in Australia. It helps banks, insurers, superannuation trustees, healthcare and governmen

  • ClearML

    By ClearML

    ClearML is an MLOps platform for experiment tracking, orchestration, and data management for ML teams. Public marketing also emphasises end-to-end MLOps suite. It is presented for

  • Comet ML Platform

    By Comet

    Comet ML Platform is Comet's platform, from Comet ML Inc. Published at comet.com. Directory filing: Model governance. Vendor legal name on this product record: Comet ML Inc. Comet

  • DataChain Studio

    By DataChain

    Discover DataChain products and services. DataChain builds a suite of tools for data preprocessing and management, experiment tracking, ML models versioning, and pipeline automatio

  • Dataiku Govern

    By Dataiku

    Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. Dataiku Govern is Dataiku's softw

  • Fiddler AI Observability and Security Platform

    By Fiddler AI

    The AI Control Plane for enterprises. Gain visibility, context, and control through evaluation, monitoring, enforcement, governance, and cost efficiency. Fiddler AI Observability a

  • H2O MLOps

    By H2O.ai

    Only H2O.ai provides an end-to-end GenAI platform where you own every part of the stack. Built for airgapped, on-premises or cloud VPC deployments. H2O MLOps is H2O.ai's platform,

  • Iguazio AI Platform

    By Iguazio

    Iguazio AI Platform is Iguazio's platform, from Iguazio Ltd. Published at iguazio.com/platform. Directory filing: Model governance. Vendor legal name on this product record: Iguazi

  • Kubeflow

    By Linux Foundation

    Helping open technology projects build world class open source software, communities and companies. Kubeflow is Linux Foundation's platform, from The Linux Foundation. Published at

  • ModelOp Center

    By ModelOp

    ModelOp's Enterprise AI Command Center is the system of record that unifies every AI asset so you bring ML, GenAI, and agentic AI to production 10× faster. ModelOp Center is M

  • SAS Model Manager

    By SAS

    SAS Model Manager is SAS's software product, from SAS Institute Inc. Published at sas.com/en_us/software/model-manager.html. Directory filing: Model governance. Vendor legal name o

  • Valohai

    By Valohai

    Valohai is the MLOps platform for AI products that combine LLMs and specialized models. Compare, evaluate, and ship configurations against your real data, on your own cloud, with f

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

Does model governance issue a Trustmark?

No. It is an operator control. Trustmark is independent assessment of a product.

What is Model governance?

Model governance covers the lifecycle of a named model: lineage, evals, approvals, monitoring and retirement. It is aimed at ML and LLM operations teams. It is narrower than enterprise AI governance and should not be merged with responsible-AI policy suites.

Is an AI governance questionnaire the same as independent verification?

No. Governance platforms help an organisation inventory systems and attest to policy. They do not replace independent testing of a production product. A completed questionnaire is operator documentation unless independently sampled.

What human oversight should buyers specify for consequential AI decisions?

Oversight is not a confirm button. Buyers should specify who can approve or stop an outcome, whether they have time and competence, what they see, and how that review is logged. Independent assessment records the oversight that was evidenced for the named scope.

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.