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Explore insights, trends, and innovations in patents, AI, and R&D from the experts at IPRally.

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Press release: IPRally raises €2.0 million to build the patent search engine 2.0

The round is led by Join Capital and Spintop Ventures, with the participation of previous investor Icebreaker.vc.

IPRally featured in TechCrunch: operations expanding

The company starts a new sprint in AI development and global operations following a Seed investment round

IPRally reported to improve patent search quality by up to 57%

An independent study confirms that IPRally significantly improves the quality of patent searches. Being the best performing AI platform tested, an average improvement of 29% was reported.

Why machine translations matter?

The amount of non-English patent documents is rapidly growing. To tackle the searchability problem, we are using machine translations to create English knowledge graphs from non-English texts.

We brought in GPUs to speed up your workflow

The dynamic highlighting of the search results loads faster from now on. This is the first time we brought GPUs to the frontline, to speed up your user experience.

Leveraging our patent search engine for patent classification

We used our model trained for prior art searches to classify patents into CPC classes. The performance we achieved is on par with the performance reported for state of the art classifiers in scientific articles.