Minesoft receive Award for Best Business in Innovation




In November 2016, Minesoft were honoured to be selected as the winner of the Best Business for Innovation at the Richmond Business Awards. Furthermore, Minesoft was highly commended in the Best Exporter category.

As a local business we’re keen to give back to the community and have sponsored the Richmond Business Awards for a number of years. In addition, Minesoft’s Managing Director and Co-founder, Ann Chapman, is on the steering committee for the Richmond Business Investment District plan and last week Minesoft staff had the opportunity to discuss international issues informally with Nick Clegg MP, former deputy Prime Minister and leader of the Liberal Democratic Party.

At Minesoft, we are constantly innovating our products for an optimised user experience, hence, in 2009 and 2015, we won the prestigious Queen’s Award for Enterprise for an outstanding achievement in rapidly growing export markets in the field of Intellectual Property information.


Our products are developed with constant innovation in mind. In November 2015, we added TextMine to PatBase, enabling our users to instantly identify the chemicals, genes, proteins, diseases, polymers and physical parameters disclosed within the full text of millions of documents. We’ve also recently added a Semantic Search module to both PatBase and PatBase Express, enabling users to unearth hidden patents. Furthermore, we are continuously adding data from around the world, including full text patent data. In the past week we’ve added full text collections from the African Regional IP Organisation (AP) and Tunisia (TN), taking us to a total of 44 full text collections in PatBase.

Devising a comprehensive search strategy in PatBase


Minesoft’s Rob Poolman discusses the challenges in creating a comprehensive search strategy in a new video uploaded to the tutorial page in PatBase. Delivered from the perspective of an experienced patent analyst, Rob utilises two case studies to demonstrate the features and functionalities within PatBase to help users create a comprehensive search strategy.

A prior art case study using a hypothetical new drug invention for skin cancer and a competitive intelligence case study on the topic of reverse osmosis are used to demonstrate the following features:

  • PatBase Thesaurus to craft a comprehensive strategy in English and in a number of foreign languages
  • Classification Finder to identify relevant classification codes
  • Non-Latin search functionality to search native and machine translated non-Latin text
  • Non-Patent Literature module to search over 12 public resources of non-patent literature
  • Chemical Explorer to interrogate the full text of patents for chemical entities
  • Semantic Searching to identify similar patents
  • PatBase Analytics to identify the key assignees, inventors and fields of interest
  • Citation Explorer to analyse the content and relevance of patent citations


To view this video, you must be subscribed to PatBase. If you’re interested in taking part in a free two-week trial, please visit www.discoverpatents.net.

If you’re already subscribed to PatBase, the video is available here.