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RavenPack gives meaning to unstructured data. We enable our clients to quickly extract value and insights from large amounts of information.
Deal unlocks decades of authoritative financial reporting to build advanced AI agents.
Complete content ecosystem. Search-first architecture. Grounded by design.
Train large language modelswith structured data from textual content.
Introducing RavenPack Factors: Streamlined Insights for all Investment Styles.
Track executive sentiment on the US economy from earnings calls and conference transcripts.
Monitor 40,000+ news sources for negative news impacting 7M+ companies.
Capture sentiment momentum from thousands of daily news stories on public companies.
Unify earnings signals from news, transcripts, insider transactions, and earnings dates.
News, social media, transcripts, filings, and other texts, all contain valuable information. Most of these types of data remain unused because they are unstructured, and hard to process. RavenPack turns them into actionable insights.
RavenPack delivers structured analytics on published content from high-quality sources including gated content and over 40,000 web and social media sources.
80+ fields describe every entity detected including over 20 sentiment indicators. Contextual analytics on temporal, territory, segment and similarity aspects are also delivered.
News and information in 13 languages for local-level precision and global perspectives.
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