24/7 Insight into the people and societies shaping the 21st century

A platform for next generation intelligence

The platform ingests, transcribes, translates and enriches data with a collection of powerful AI modules.

Data is collected from across the media domain, from on-the-ground broadcast collection devices, and from our global 'wise crowd.'

Generative AI Summarization
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LLM powered summarization of events and trends provide a quick overview of what is most important.

Transcription and translation of vernacular content
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Machine translation of vernacular language content and transcription of broadcast video and audio give access to a wide range of content.

Media sentiment over time
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VoxCroft “X-Sentiment” models measure media and public attitudes towards specific actors over time. “Emotions” models further classify sentiment data by common emotions, such as anger and fear.

Theme classification and sentiment drivers
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Theme classification models will track and visualize the prominent topics of media discourse and the issues shaping public attitudes toward specific brands and other important actors.

Bot and disinformation detection
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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.

Influential voices and conversation tracking
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Prominent voices and networks are shown to identify the key networks for targeted strategic communications. AI models also provide geographic and psychographic target audience segmentation.

Three features that make Arrow the holy grail for intelligence in the frontier

Multi-Modal Data Collection from Hard to Reach Places
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Enabling comprehensive insight into informational threats and strategic communications opportunities.

On the ground vernacular radio and television broadcast collection
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Measure societal attitudes through previously inaccessible sources collected through on-site devices.

Wise crowd insights
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VoxCroft leverages a network of more than 200 native media environment experts and more than 500 linguists to validate sources and enrich data collection with regional, national, hyperlocal context.