Train large language modelswith structured data from textual content.
Cutting research time from days to minutes.Like having a top-tier analytics team at your fingertips.
RavenPack gives meaning to unstructured data. We enable our clients to quickly extract value and insights from large amounts of information.
Introducing RavenPack Factors: Streamlined Insights for all Investment Styles.
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.
A new strategy combining analyst rating changes and news sentiment improves stock selection across global markets, delivering consistent outperformance.
New research shows how sentiment signals from earnings- and assets-related news can enhance the equity sector selection across the U.S. market.
RavenPack’s Chief Business Officer shares how she empowers teams, scales businesses, and mentors future female leaders.
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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