[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.

[7] Bottlenose processed 72 billion messages per day, in real-time, from across social and broadcast media, as of December 2014.

[15] Bottlenose partnered with the nonprofit No Labels during the 2014 State of the Union Address to analyze Twitter conversations for bipartisanship.

[17][18] The Bottlenose Nerve Center integrated with the Critical Mention API to analyze real-time trends in television and radio broadcasts.

[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.