Bottlenose (company)
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| Company type | Private |
|---|---|
| Industry | Big data analytics[1] |
| Founded | 2010 |
| Headquarters | |
| Website | www |
Bottlenose.com, also known as Bottlenose, is an enterprise trend intelligence company that analyzes big data and business data to detect trends for brands.[2] It helps Fortune 500 enterprises discover, and track emerging trends that affect their brands.[3][4] The company uses natural language processing, sentiment analysis, statistical algorithms, data mining, and machine learning heuristics to determine trends,[5] and has a search engine that gathers information from social networks.[6] KPMG Capital has invested a "substantial amount" in the company.[7]
Bottlenose processed 72 billion messages per day, in real-time, from across social and broadcast media, as of December 2014.[8]
The company is based in Los Angeles, CA.[9] Bottlenose is a real-time trend intelligence tool that measures social media campaigns and trends.[10][11] The company also provides a free version of its Sonar tool that shows real-time trends across social media.[12]
In October 2012, the company received $1 million of funding from ff Venture Capital and Prosper Capital.[13] By 2014, the company raised about $7 million in funding.[14] In December 2014, KPMG Capital announced further investment in the company.[7] In February 2015, the company confirmed it had raised $13.4 million in Series B funding led by KPMG Capital.[15]
Bottlenose partnered with the nonprofit No Labels during the 2014 State of the Union Address to analyze Twitter conversations for bipartisanship.[16] The company also partnered with media monitoring company Critical Mention to analyze broadcast analytics.[17][18] The Bottlenose Nerve Center integrated with the Critical Mention API to analyze real-time trends in television and radio broadcasts.[19]
In June 2014, Bottlenose updated its trend detection product to Nerve Center 2.0. It creates a newsfeed to show changes in trends and sends alerts when trends occur. It also has "emotion detection," which will display the emotions associated with specific comments on trending topics.[20] In 2016, Bottlenose released its Nerve Center 3.0 platform, which was designed to automate the work of data scientists and lower the cost of artificial intelligence for businesses.[21][22]