Voyager Labs is a leading AI and cognitive deep learning company that enables businesses and the public sector to obtain the insights needed to understand individual behaviors, interests and intent, ultimately creating a more prosperous and safer world for all.
Using an innovative, scalable, and cognitive approach, we have an unparalleled ability to interpret the complex layers of unstructured data in the social sphere. By analyzing billions of “human pixels” and signals – publicly available data that is available to all, but not understandable to all – we provide comprehensive, far-reaching, and high resolution insights on individual and group behavior.
Our platforms work at scale; searching, aggregating, and fusing billions of publicly available data points and human behavior pulses from the social sphere.
We have created solutions that empower and enable leading organizations in the private and public sectors to glean valuable insights in real-time, and make informed decisions, alter revenue models, and address pressing business challenges.
Founded in 2012, Voyager Labs currently employs a multidisciplinary team of experienced experts in the ﬁelds of cognitive computing, machine learning, data science and cyber-security. Our ofﬁces and R&D centers are located in Washington DC, New York, London, and Israel. VoyagerAnalytics Inc. is a fully owned subsidiary operating in the USA.
We enable organizations to generate valuable insights from a multitude of publicly available sources.
VoyagerAnalytics™ is cognitive computing deep-insights platform for analyzing human behavior in real time. It conducts deep analysis of people and groups, and provides actionable insights to help clients strengthen and protect their business interests.
Close your recommendation gap. Finally, personalization is elevated to sophisticated precision success. VoyagereCommerce™ combines what your customers do on your site with AI capabilities and analysis of their behaviors, signals and decisions in the vast social sphere. Only the merging of these two worlds can create product recommendations that are personally accurate, multi-dimensional and time-sensitive.