Lexalytics
We process billions of unstructured documents every day, globally.
We are the industry leader in translating text into profitable decisions; we make state-of-the-art cloud and on-prem natural language processing and machine learning technologies that transform text data into actionable insights.
The Lexalytics Intelligence Platform's on-premise Salience® and SaaS Semantria® solutions are implemented in a variety of industries for social media monitoring, people analytics and voice of employee, reputation management and voice of the customer, and regulatory compliance programs.
Over the years...
| 2003 | Lexalytics founded by Jeff Catlin and Mike Marshall |
| 2004 | Lexalytics ships world’s first commercial sentiment analysis engine |
| 2005 | Lexalytics ships themes - automatic discovery of buzz |
| 2008 | Lexalytics ships machine learning based named entity extraction |
| 2010 | Lexalytics ships world's first Twitter/microblog specific text analytics |
| 2010 | First non-English language: French |
| 2011 | Concept Matrix™: world's first semantic understanding based on Wikipedia(tm) |
| 2012 | Semantria, the Lexalytics-based cloud API launches |
| 2013 | Chinese language support released, expanding coverage to 6 languages |
| 2014 | Lexalytics buys all Semantria stakes and makes the cloud an inherent part of it's offering |
| 2014 | Salience version 6 released, world's first unsupervised machine learning model for syntax analysis |
| 2015 | Nordic languages, Arabic, Russian, Dutch, and Polish released; 22 languages so far |
| 2015 | Airlines, Hospitality/Restaurant Industry Packs released |
| 2016 | Pharmaceutical Industry Pack released |
| 2016 | Semantria Text Analytics Platform available on Microsoft Azure |
| 2017 | Magic Machines AI Lab opens to drive innovation in building and managing AI |
| 2017 | Human Resources and eCommerce Industry Packs released |
| 2017 | Assembler machine learning models builder released |
| 2018 | Support for Unicode Emoji 11.0 |
| 2018 | Lexalytics is first company to cleanly support private, public, and hybrid cloud text analytics infrastructures |