CheckCom AI Model Discovery Radar

AI Models Overview: the daily decision layer for LLMs and AI models.

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.

What the radar combines

OpenRouterAPI and router perspective on many model offerings.
Hugging FaceRegistry, open-weight and download signals.
Ollama & local runtimeSignals for local availability and testing.
Vendors, RSS, curated sourcesPrimary release signals and manual corrections.
Curated modelsmain list
Locally runnabledownload & runtime
API-onlyrouter & provider
New modelssince latest run
Total catalogpublished export
Updated dailypipeline status

What does the radar show?

CheckCom does not replace model hubs. CheckCom makes model information decision-ready.

New and growing

Which model families and providers appear and which entries may need deeper review.

Local or API-only

Whether a model is downloadable, locally runnable, open weight or only accessible through API/router.

Sources and evidence

Which sources support an entry, whether links were checked and how reliable the signal appears.

EU AI Act relevance

Which provider, model and GPAI information may matter for inventories, supplier questions and governance.

Top lists from the daily model radar

The landing page deliberately shows only excerpts. Full lists are available on subpages.

Open full catalog →

Top curated models

Locally runnable models

New models

Why model information matters for the EU AI Act and GPAI

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.

From model radar to CheckCom readiness

1. Identify models

Which providers and model families may matter?

2. Capture AI systems

Which tools, data and purposes are involved?

3. Ask suppliers

Which governance information is missing?

4. Prepare EU AI Act review

Choose Demo, Lite, Pro or Enterprise.