Signal AI raises $25 million to automate reputation management and monitoring


Signal AI (previously Signal Media), a New York-based startup leveraging AI to automate enterprise intelligence and media monitoring duties, at present introduced that it’s raised $25 million in collection C funding led by Redline Capital with participation from present traders together with MMC Ventures, GMG Ventures, and Hearst Ventures. It brings the corporate’s complete raised to date to $43 million following a $16 million collection B in June 2018 and a $7.four million collection A in December 2016, which CEO and founder David Benigson stated will allow Signal AI to department out into new use circumstances and speed up its U.S. and Asia-Pacific progress.

The newfound capital comes after a 12 months throughout which Signal AI’s income grew 130%, partly pushed by the doubling of a buyer base that now consists of FleishmanHillard, Deloitte, SSE, Balderton Capital, Amadeus, Thomas Cook Group, White Star Capital, Quilter, TalkTalk, HSBC, and MSL Group.

“Our vision at Signal AI is to transform business decision making through augmented intelligence. We are building artificial intelligence and machine learning technologies that learn what an executive needs to know and investigate huge amounts of data to provide critical insights in real time. The results give them absolute clarity about what’s happening outside their organization to make the most informed decisions,” stated Benigson. “I am thrilled to have Redline join us in this latest round and appreciate the continued belief and support of our existing investors, which will allow us to continue scaling our business and advancing our work with some of the world’s biggest companies.”

Signal AI acquired its begin in 2013, when Benigson — impressed to streamline his mother and father’ enterprise’ e-mail publication workflow — investigated the usage of AI for information curation. He developed the primary iteration of Signal AI’s machine studying backend from the household storage, tackling aggregation duties usually undertaken within the digital, print, and broadcast media business. In the following years, the platform expanded to embrace options for compliance and reputation management past media monitoring.

Above: Signal AI’s insights dashboard.

Image Credit: Signal AI

Signal AI’s software program makes use of a raft of machine studying methods together with pure language processing, textual content analytics, machine studying, subject classification, entity recognition, sentiment evaluation, quote and anomaly detection, and knowledge visualization to floor sought-after buyer knowledge. Its algorithms acknowledge and tag entities like individuals, locations, organizations, firms, and subjects (e.g., acquisitions and office range), whereas its front-end dashboards use visualization and real-time evaluation to collate the leads to numerous maps, tables, graphs, experiences, and alerts.

The thought is to assist firms discover new enterprise growth alternatives, observe campaigns and regulatory modifications, and carry out complete competitor evaluation for tactical planning. To this final level, Signal AI says its advertiser product — Marketing Intelligence Suite, which automates media monitoring — attracts on over 5 million sources a day in over 80 languages, all of which may be tailor-made with customizable tags and teams.

Signal AI has its work minimize out for it within the over $345 million reputation management phase, which incumbents like Kantar, Cision, Meltwater, and RiskEye dominate. But in a press release, Redline Capital associate Nicolas Giuli expressed confidence in its AI-first method.

“In this new digital era of news and content, having an adaptive platform to help the world’s leading organizations see around the corner is invaluable,” stated Giuli. “Signal AI’s team of data scientists and engineers have been at the forefront of the AI revolution, and we are excited to take this journey with them as they continue to scale across the world.”

Signal AI now has over 150 staff worldwide throughout workplaces in London, New York, and Hong Kong.



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