The platform ingests, transcribes, translates and enriches data with a collection of powerful AI modules.
Data is collected from across the media domain, on-the-ground broadcast collection devices, and our global 'wise crowd.'
LLM-powered summarization of events and trends provides a quick overview of what is most important.
Machine translation of vernacular language content and transcription of broadcast video and audio give access to a wide range of content.
VoxCroft “X-Sentiment” models measure media and public attitudes toward specific actors over time. “Emotions” models further classify sentiment data by common emotions, such as anger and fear.
Theme classification models track and visualize the prominent topics in media discourse and the issues shaping public attitudes toward specific brands and other important actors.
A mix of AI models discern fractions of discourse driven by bots and other bad faith actors, as well as content containing mis/dis/maliformation to assess the origins and impact of malign influence.
Prominent voices and networks identify key networks for targeted strategic communications. AI models also provide geographic and psychographic target audience segmentation.
Enabling comprehensive insight into informational threats and strategic communications opportunities.
Measure societal attitudes through previously inaccessible sources collected through on-site devices.
VoxCroft leverages a network of 200+ native media environment experts and 500+ linguists to validate sources and enrich data collection with regional, national, and hyperlocal context.