Vision models companies, products & suppliers
Foundation or API models whose primary modality is images or video frames. Jobs: image understanding apis; video-frame models; vision fine-tunes.
What are Vision models?
Foundation or API models whose primary modality is images or video frames. Jobs: image understanding apis; video-frame models; vision fine-tunes.
What problems does it solve?
Application teams need a vision backbone, not a consumer photo app.
Typical business use cases
- Image understanding APIs
- Video-frame models
- Vision fine-tunes
Important capabilities
- Image/video input
- Labels or embeddings
- Hosting
What buyers should evaluate
- Training-data licence
- Biometric use restrictions
- Eval set
Risks and governance considerations
A vision API used for face identification without a lawful basis.
Procurement checklist
- Intended use
- Licence
- Residency
Relevant AI Trustmark assurance
AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.
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.
Ai2, founded by Paul Allen, conducts high-impact research and engineering to tackle key problems in artificial intelligence. Ai2 publishes Molmo2-8B and OLMo 2 0325 32B Instruct as
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support. Apple I
Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Google publishes Imagen, Gemini f
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 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
Microsoft Corporation sells Windows, Azure, Microsoft 365 and Copilot AI products. Public pages cover cloud, productivity and developer APIs used by enterprises and consumers. Micr
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 publishes NVIDIA cuO
Everything you need to build and deploy computer vision models, from automated annotation tools to high-performance deployment solutions. Roboflow publishes RF-DETR Base as named A
Annotate data, train YOLO models, and deploy to 42 global regions. Ultralytics publishes Ultralytics YOLO26 as named AI products. Ultralytics is used for Vision models work. Ultral
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- Cloud Vision AI· Google
- Depth Pro· Apple
- Granite Vision 4.1 4B· IBM
- Kosmos-2.5· Microsoft
- Molmo2-8B· Ai2
- RADIOv2.5-L· NVIDIA
- RF-DETR Base· Roboflow
- SAM 2.1 Hiera Large· Meta
- SigLIP 2 So400m patch14 384· Google
- Ultralytics YOLO26· Ultralytics
Related categories
Relevant procurement and assurance guides
Frequently asked questions
What is Vision models?
Foundation or API models whose primary modality is images or video frames. Jobs: image understanding apis; video-frame models; vision fine-tunes.
What should not be listed as Vision models?
Products whose buyer job is finished inspection products, multimodal chat apps, or embedding-only APIs. Those belong on their own category page so search queries are not split.
Has AI Trustmark independently assessed every Vision models supplier?
No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.
What are Vision models?
Foundation or API models whose primary modality is images or video frames. Jobs: image understanding apis; video-frame models; vision fine-tunes.
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.