Use Cases

Enterprise Search/Insight Engine

  • Searching for information is a key part of an employees work life
  • In 2012, McKinsey estimated that an employee can spend nearly 20% of their productive work time looking for information
  • Making information easier to find makes employees more productive and reduces training time
  • It can take 1-2 years for new employees to become fully productive.  Reducing their non-productive time reduces their training time
  • Symilarity software improves your internal search experience, providing better tools and enriching your data

Customer Experience-Site Search

  • Clients prefer to use your website rather than contact you
  • As direct contact is more expensive, it makes sense for the business too
  • So we need to ensure their online search experience is a good one.
  • Symilarities API’s (application programming interface) enable you to integrate an excellent search experience within your site
    • Filter with facets, eliminating unnecessary results
    • Rank results by relevance, not just keyword matching
    • Recommend results using similarity matching
    • Use machine learning to rank results based on the user query
    • Use synonyms to accommodate spelling errors

Customer Support

  • Answering customer queries can often involve looking for information in multiple systems or places
  • Bringing that information together under a single unified search can reduce the time taken to find information
  • Providing self-service opportunities for clients reduces agent load
  • Where direct contact is needed, reduced waiting time improves the customer experience, improves agent efficiency and reduces cost per contact

Patent Matching

  • Organisations with high R&D costs, using patents to protect their intellectual property want to understand the patent landscape before committing large budgets
  • The language used within patents often obscures the information you are seeking
  • Machine learning can often uncover related terminology that can make it easier to find related patents

CV Matching

  • You know what a good CV looks like but there are so many to trawl through
  • Searching often requires using multiple searches to capture the variations in terminology
  • Symilarity’s Machine Learning uncovers the relatedness of words and so searching for one term automatically searches for related terms
  • Symilarity enables the use of a “good cv” as a template and will find other similar CVs based on that template. 

Insurance Fraud Matching

  • Facing a barrage of natural catastrophe insurance claims?
  • Match the claims against each other to see which claimants have copied previous successful claims.
  • Train the classifier with known fraud claims and run in real time against your incoming claims, spot the fraud in real time.


  • Investigation tasks are often characterised by large data volumes from multiple sources
  • Symilarity uses machine learning to automatically generate related terms (like synonyms) enabling a search term to represent more than the specific words used
  • Term similarity provides an insight into the content of the data
  • Whole documents can be used as search terms
  • Symilarity’s natural language functionality enables key content to be extracted into a graph database for further analysis
  • Symilarity’s Principal Components Analysis (PCA) can help understand the overall composition of a dataset

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