LLMs companies, products & suppliers

Large language models are general sequence models sold as APIs or weights for text and increasingly other modalities. They are foundation components, not finished business applications. Procurement should identify the exact model, licence, eval evidence and hosting, rather than a consumer chatbot name.

What are LLMs?

Large language models are general sequence models sold as APIs or weights for text and increasingly other modalities. They are foundation components, not finished business applications. Procurement should identify the exact model, licence, eval evidence and hosting, rather than a consumer chatbot name.

What problems does it solve?

Application teams inherit undocumented model changes and unclear training-data licences.

Typical business use cases

  • Application backends
  • RAG generation
  • Agents' planning models
  • On-prem inference

Important capabilities

  • Context window
  • Tool calling
  • Multimodality
  • Fine-tuning or adapters

What buyers should evaluate

  • Model identifier stability
  • Eval suite
  • Licence
  • Hosting and residency

Risks and governance considerations

Silent quality drift, training-data litigation, and unsafe completions in an application wrapper.

Procurement checklist

  • Pinned model version
  • Safety policy
  • Data-use
  • Rate and residency

Relevant AI Trustmark assurance

Trustmark certifies a named product that uses a model, not 'an LLM' as an abstract category.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • AI21

    AI21 builds Foundation Models and AI Systems for the enterprise. Power your most critical enterprise workflows with accurate, reliable, and scalable AI. AI21 publishes Jamba Large

  • Alibaba Cloud

    Alibaba Cloud publishes Alibaba Cloud PAI, Alibaba Cloud Model Studio, and Qwen Chat as named AI products. Alibaba Cloud is used for Multimodal assistants and LLMs work. Alibaba Cl

  • Anthropic

    Anthropic is a US AI safety and research company that develops the Claude assistant family and related APIs. Anthropic publishes Claude Computer Use, Claude Sonnet 5, and Claude Op

  • Cohere

    Cohere is a Toronto-headquartered model company selling text, embed and RAG-oriented APIs for enterprises. Public pages emphasise private deployment options alongside hosted APIs.

  • DeepSeek

    DeepSeek publishes DeepSeek Chat, DeepSeek-R1, and DeepSeek-VL2 as named AI products. DeepSeek is used for Multimodal assistants and LLMs work. DeepSeek publishes product informati

  • IBM

    International Business Machines Corporation sells hybrid-cloud software, Granite models and enterprise AI tooling. Public pages distinguish IBM software and models from IBM Consult

  • Meta

    Meta Platforms sells family-of-apps advertising products and open Llama models. Public AI pages cover research models, Llama releases and developer tooling. Meta publishes LlamaFir

  • Mistral AI

    Mistral AI is a Paris-headquartered model company selling open-weight and hosted language models. Public pages cover APIs, model licences and enterprise deployments. Mistral AI pub

  • OpenAI

    OpenAI is a US AI research company that sells hosted assistants, APIs and developer tools, including ChatGPT and the OpenAI API. OpenAI publishes ChatGPT Work, omni-moderation, and

Products

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

Related categories

Relevant procurement and assurance guides

Frequently asked questions

Are LLMs the same as chat products?

No. An LLM is the model. A chat product is an application with UI, tools, retention and connectors.

What are LLMs?

Large language models are general sequence models sold as APIs or weights for text and increasingly other modalities. They are foundation components, not finished business applications. Procurement should identify the exact model, licence, eval evidence and hosting, rather than a consumer chatbot name.

Why do buyers need to know which model providers sit behind an AI product?

Most products depend on named models or APIs. Buyers should identify those providers, where data is sent, and who is accountable when a model version changes. A supplier that cannot name material model providers is not ready for high-assurance procurement.

How can buyers tell whether customer data is used to train models?

Ask whether prompts, files, logs or outputs are used to train, fine-tune or evaluate models, including by subprocessors. Require the contractual default, any opt-out, and whether the setting can be changed silently. Treat marketing 'we do not train' claims as unverified until evidenced.

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.