
Dunami
Social media intelligence software for influencer identification.
Date | Investors | Amount | Round |
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N/A | €0.0 | round | |
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investor investor investor | €0.0 | round | |
N/A | $3.0m | Convertible | |
Total Funding | 000k |
Dunami is a social media intelligence company that provides software to help organizations analyze big data sources to identify key audiences, networks, and influential figures relevant to their business. Founded in 2012 by Michael Lane Thomas, the company is headquartered in Overland Park, Kansas.
The firm's core product is a software platform that utilizes proprietary mathematical techniques to analyze social media networks. It automatically creates large, relevant customer segments, referred to as “channels,” and then identifies the most influential members within them. This enables clients to understand and engage with the individuals and topics that matter most to their objectives. The software includes features for data analysis, visual analytics, predictive analytics, and customizable reporting. Dunami was acquired on June 8, 2020.
The company's technology has been used by various entities, including government and law enforcement agencies like the FBI and Chicago Police Department, to determine networks of association, centers of influence, and to monitor social media for potential threats. This application of their technology has also been part of publicly funded projects, such as a $2.2 million grant for Chicago Public Schools to analyze student conversations to prevent violence. The company has raised a total of $1.65 million over six funding rounds, with its latest Series A round on January 13, 2017, involving investor KCRise Fund.
Keywords: social media intelligence, influencer analytics, big data analysis, audience segmentation, network analysis, social media monitoring, predictive analytics, data visualization, influence identification, customer segment creation, law enforcement technology, social media analytics software, brand intelligence, market intelligence