Patent-Based Library of AI Use Cases

Real examples of how AI is used in practice. Based on patents and technical documents from industries like forestry, mining, construction, and many other industries.

Browse use cases

What You'll Find Here

See real AI applications

Browse examples by industry, task, or algorithm type. See what data is used, how problems are solved, and where different methods work best.

Find vendors to implement AI

Most use cases include links to companies and solutions that can help you implement similar AI applications.

How It Works

We read patents and technical documents, then translate them into plain language. Each use case shows:

The real problem being solved

What practical challenge the AI addresses in real-world scenarios.

What data is used

Input formats, sources, and data requirements for the solution.

Which AI approach is applied

The algorithm family and method used without marketing jargon.

Known limitations

Constraints and boundaries of the approach based on technical documentation.

Browse by AI Method

Who Uses This

Companies exploring AI

See what's actually possible before talking to vendors.

Engineers & data scientists

Review real implementations in your field and related industries.

Solution providers

Compare your approach with documented real-world examples.

Vendors and Real Implementations

Each use case includes links to vendors or firms that appear to address similar tasks, based on public information. These links are intended as starting points for further research rather than as endorsements.

In some instances, the library references a specific real-world implementation (for example: drone-based mapping, image annotation services, or an SAP field application) to suggest a concrete pathway to investigate further.

These links are provided for practical context. Because the list is not exhaustive, you can request updates to help keep the information factual and clear.

Methodology and Limitations

Our methodology page explains how patent and technical-document inputs are filtered, interpreted, and transformed into structured use-case pages.

It also outlines limitations, including where patent text can be ambiguous and where real-world execution details are outside the source material.

Read methodology details →