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Latest from IPRally

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

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Why patent search needs to be graph based

Knowledge graphs are a great fit for patents. The benefits of a graph based patent search will be increasingly hard to compete with the traditional approaches.

Tallinn North Star AI conference: IPRally wins the most innovative AI startup award!

IPRally won the most innovative AI startup award in North Star AI conference. The event had some star speakers like Estonian president Kersti Kaljulaid and DeepMind's Samuel Ritter.

IPRally chosen as the IPR innovation of 2018

The most notable IPR innovation award of Finland, granted by the IPR University Center, was given to IPRally.

The world’s fastest Tree-LSTM

Our story about utilising neural nets with tree like data. Can a Tree-LSTM model be used for real world applications? Turns out the answer is yes, but only after the performance is improved by 7000%.

Our story so far

The story of IPRally in a nutshell. From initial questions to validation of ideas and a working product.

From searching what you want to finding what you need

Moving towards efficient patent searches requires better understanding of both the target of the search and the reason for the search. This post discusses this problematic and sligthly opens our approach to solving it.