Text Mining, Semantics & Data Intelligence for Biopharma, Biotech & Beyond

What's New?

  • Disease Detective Part 1: Rare disease collaboration networks24th February 2017
    Disease Detective Part 1: Rare disease collaboration networks

    How SciBite's technology can help the pharmaceutical industry to identify potential for collaboration with key scientific influencers.

  • In defence of toast…
    In defence of toast…2nd February 2017

    Could semantic analysis help us to enjoy a worry-free slice of toast?

    Ah, toast.  Never met someone who doesn’t like toast.  When you’re looking for a quick snack, toast.  When you’re ill, toast.  With butter, jam, cheese, Marmite (not all at once).  And acrylamide...

  • SciBite at London Info International 20165th January 2017

    We were at the London Info International Conference in December 2016 and loved chatting to everyone who visited our stand.

    Watch us at the Conference.

    SciBite at London Info International 2016
  • Closing out 201623rd December 2016
    Closing out 2016

    As we at SciBite slow down to spend some quality time with our families over the Christmas break, I wanted to share some of the 2016 highlights with you as our customers, partners, colleagues, friends and anyone else who might be interested!

  • SciBite and PerkinElmer Provide Advanced Analytics from Unstructured Scientific Data30th November 2016
    SciBite and PerkinElmer Provide Advanced Analytics from Unstructured  Scientific Data

    PerkinElmer, Inc., today announced sophisticated scientific semantic enhancements to the PerkinElmer Signals™ Perspectives platform, powered by SciBite® and Attivio.®

  • Fuzzy matching now in TERMite22nd November 2016
    Fuzzy matching now in TERMite

    TERMite, our high-performance text recognition engine is designed to identify key concepts in biomedical text. However, a drawback of this approach is that generally terms must be spelt correctly to be recognised.  In the latest release of TERMite, we now include a fuzzy matching feature to help identify incorrectly spelt concepts in text.