Data You Can Trust.
Intelligence You Can Scale.

Our datasets are engineered to accelerate AI adoption by eliminating friction that slows model development and workflow integration. Each layer is built for scale, interoperability, and transparency—with comprehensive metadata that provides the context AI systems need to accurately interpret our data.

As clients develop their own Generative AI–powered tools, we make our data truly AI-Ready. This includes not only structured and standardized datasets, but also Python-wrapped data designed for seamless integration into data science environments. We deliver this data—and its associated metadata—through our leading distribution channels, while continuously expanding availability to meet clients where they are.

• Standardized and Linked: Billions of structured data points aligned across companies, securities, and sectors to support cross-market analysis and modeling.
• Machine-Readable and Enriched: Transcripts, filings, news, and research cleansed, tagged for immediate use in AI systems.
• Trusted and Transparent: Every data point is auditable back to its original source, ensuring accuracy, reliability, and explainability in AI-driven workflows.

Developers and data scientists integrate S&P Global’s AI-ready data directly into models and applications. With APIs such as the Kensho LLM-Ready API, machine-readable transcripts and filings, and flexible delivery via feeds, Snowflake and Databricks, they build faster and scale smarter.