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Which model families and providers appear and which entries may need deeper review.
AI models appear every day in hubs, APIs and vendor sources. CheckCom brings this information together and shows which models are relevant, evidenced, locally runnable, downloadable or API-only.
AI Model Discovery Radar is a daily updated decision layer for the AI model market. It collects models from OpenRouter, Hugging Face, Ollama, RSS feeds, vendor sources and curated manual sources, merges variants, evaluates evidence, checks links and publishes a curated German and English overview.
EU AI Act bridge: Model information can become relevant for AI inventories, supplier questions, GPAI, provider information and governance preparation.
CheckCom does not replace model hubs. CheckCom makes model information decision-ready.
Which model families and providers appear and which entries may need deeper review.
Whether a model is downloadable, locally runnable, open weight or only accessible through API/router.
Which sources support an entry, whether links were checked and how reliable the signal appears.
Which provider, model and GPAI information may matter for inventories, supplier questions and governance.
The landing page deliberately shows only excerpts. Full lists are available on subpages.
Many companies use AI models indirectly through tools, APIs and platforms. For an AI inventory, supplier questions and GPAI preparation, it is not enough to know that “AI is used”. Model providers, model families, access types, data flows, provider information and evidence need to become visible.
On CheckCom, AI inventory, supplier questionnaires for AI tools, GPAI / third-party AI / external tools and evidence lists are already part of the readiness logic. The model radar adds a practical data layer: it helps identify which model families, providers and access types may matter before a company starts deeper review.
Value: Teams see earlier which information they may need for an AI inventory, supplier review, vendor questions and later EU AI Act expert review.
Which providers and model families may matter?
Which tools, data and purposes are involved?
Which governance information is missing?
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The data layer is updated automatically and embedded into CheckCom-style pages.