One place to see what AI is for, and which models do it bestOne place to see what AI is for, and which models do it best

The problem it solves

Model announcements arrive every week, each with its own benchmarks and its own claims. Leaderboards rank models on one signal at a time, and most of what’s written about enterprise AI is either vendor marketing or a survey of intentions. None of it answers the two questions people actually ask: what is AI being used for, and which model should I trust with it.

This site answers both, in one place:

• 100 leading models →Across 6 categories, each with its strengths, weaknesses, country of origin, and release date.
• Scores you can check →Built from independent, public sources by published rules. Every mark links to its source.
• 116 use cases →What organisations use AI for, by business domain, with measured adoption where it exists.
• Where AI is used →A world map of adoption by country, and the agents enterprise platforms ship.

Principles

• No company pays to be listed, scored, or placed, and none sees a score before it’s published.
• Every score comes from independent public data, by rules published on the methodology page.
• Where there’s no measurement, the site says “not measured” rather than guessing.
• The data refreshes itself every week, and the home page shows exactly when it last did.

Where it’s going

The site is in beta, and the directory is deliberately a starting point rather than a finished list. The plan, as AI keeps growing:

1. 01100 models in every categoryToday the directory tracks 100 models across all categories. The next step is 100 in each one — language, coding, image, video, audio, and search — so every category gets the same depth.
2. 02New categories as the field opens upCategories will be added as new kinds of AI become established, rather than being fixed at 6.
3. 03More of the scores measuredEach new independent source means more models scored and fewer marks left blank.