Lexalytics
| Company type | Private |
|---|---|
| Industry | Natural language processing, Sentiment analysis, Text analytics |
| Founded | 2003 |
| Founder | Jeff Catlin, Mike Marshall |
| Headquarters | United States |
| Products | Salience 6, Semantria |
| Parent | InMoment (since September 2021) |
Lexalytics, Inc. provides sentiment and intent analytics to a wide range of businesses through its SaaS and cloud-based solutions. Its flagship offering, Salience 6, is a multilingual text analysis platform deployed on-premises, leased to organizations for purposes such as filtering content and managing reputations. In 2015, Lexalytics enhanced its cloud portfolio by acquiring Semantria, a SaaS-based text mining tool that delivers sentiment analysis via API and an Excel add-in. This acquisition, valued at less than $10 million, was intended to expand Lexalytics’ international client reach while improving multilingual capabilities. In September 2021, Lexalytics became part of the customer experience firm InMoment through acquisition.
History
Established in 2003 as an evolution of the content management startup Lightspeed, Lexalytics was spearheaded by CEO Jeff Catlin and CTO Mike Marshall. The company chose to forgo venture capital funding initially, sharing marketing and sales expenses with the UK-based company Infonic before entering into a joint venture that was eventually terminated. Over time, Lexalytics has collaborated with prominent corporations such as Salesforce, Thomson Reuters, Oracle, and DataSift, incorporating its Salience technology into tools for social media monitoring and financial market sentiment analysis.
The Salience engine utilizes deep learning techniques alongside a concept matrix developed from Wikipedia data to discern connections between ideas for automated classification. Supporting 16 languages worldwide, it received accolades from EContent as one of the Top 100 Companies in the Digital Content Industry during 2014–2015. In 2018, Lexalytics expanded into the document data extraction sector by applying natural language processing (NLP), broadening its range of products and services.