Industry Text analytics Headquarters Cambridge Type Privately held company | Website www.luminoso.com Founded 2010 | |
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Key people Co-founders: Catherine Havasi (CEO), Dennis Clark, Jason Alonso, Rob Speer Products Text analytics using artificial intelligence. | ||
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Luminoso, a Cambridge, MA-based text analysis and artificial intelligence company, spun out of the MIT Media Lab and its crowd-sourced Open Mind Common Sense (OMCS) project.
Contents
- Globo luminoso amusement lights company
- Gilberto gil tempo rei gil luminoso
- History
- Services
- Competitors
- Investors
- References
The company has raised $8 million in financing and its clients include Sony, Autodesk, Intel, NASA, REI and Scotts.
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History
Luminoso was co-founded in 2010 by Dennis Clark, Jason Alonso, Rob Speer, and CEO Catherine Havasi, a research scientist at MIT in artificial intelligence and computational linguistics. The company builds on the knowledge base of MIT’s OMCS project, co-founded in 1999 by Havasi, who continues to serve as its director. OMCS is a crowd-sourced knowledge base with more than seventeen million facts from over 15,000 contributors. The company also commercializes the work of MIT Media Lab’s ConceptNet. ConceptNet is a semantic network based on the information in the OMCS database and is part of the “common sense reasoning” branch of artificial intelligence.
During the World Cup in June 2014, the company provided a widely reported real-time sentiment analysis of the U.S. vs. Germany match, analyzing 900,000 posts on Twitter, Facebook and Google+.
Services
The company uses natural language processing and machine learning technology to derive insights from any unstructured text, such as product reviews, surveys and social media. The technology leverages artificial intelligence to identify patterns, including unconventional or creative language. Rather than human-powered keyword searches of data, the software automates taxonomy creation around concepts, allowing related words and phrases to be dynamically generated and tracked as part of its analysis. Commercial applications include tracking sentiment during product launches and identifying consumer complaints before they emerge in the media. The technology analyzes text in nine languages, as well as emoji.
Competitors
Major competitors include Medallia, Clarabridge, Lexalytics and Crimson Hexagon.
Investors
Acadia Woods led a $6.5 million round of funding, with Japan’s Digital Garage, in July 2014. The company previously raised a $1.5 million seed round.