Vigiglobe
Valbonne
About Vigiglobe
VIGIGLOBE helps companies to leverage the power of social media content in real-time! VIGIGLOBE offers a SaaS Solution called WIZR™ powered by proprietary machine learning algorithms in order to answer to issues like online-reputation, competitive intelligence or Social CRM in real-time. VIGIGLOBE is also the leader in real-time Social DooH . The company’s service offering enables CMOs and Digital agencies to make real-time innovative marketing become a reality! VIGIGLOBE’s unique selling points are numerous: - Real-time is part of our DNA: we collect, process and display data in real-time. - We do not stop at counting messages. We offer genuine qualitative insights to our customers thanks to our expertise in Artificial Intelligence and Web semantics. - Our solutions enable our clients to publicly integrate our analytical indicators on any display (mobile, web, TV broadcast or even Digital Signage). - Our IT infrastructure has been carefully thought in order to absorb a deluge of data (e.g. Twitter only generates 7,500 messages per second). We have been able to process global events like the Olympic Games, US elections or the Super Bowl. - We evolve in a multi-lingual environment (6 most commonly used languages in Europe and Arabic). We have been appointed amongst only 18 companies in the world to be an official Media Technology Partner of Twitter and are also a Facebook Public Content Service partner. We recently joined the Microsoft ISV Partnership program. Our key clients include media companies, TV channels, polling institutes, market research agencies, brands and governmental institutions. The list is fast-growing, so join the crowd! More information on www.vigiglobe.com
Company Facts
- Operating status: Closed
- Company type: For Profit
- IPO status: Private
- Employees: 11 – 50
- Total funding: $2.0M
- Funding stage: Early Stage Venture
- Last round: Series A (Sep 2014)
- Website: vigiglobe.com
- Phone: +32 (0) 473 33 41 04
Industries & Categories
Apps, Big Data, Data Mining, Machine Learning, Reputation
Social Profiles
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