S&P Global's Kensho uses LangGraph to build a multi-agent framework that unifies fragmented financial data access across enterprise systems.

Kensho developed the Grounding framework, an agentic access layer that solves trusted financial data retrieval challenges at enterprise scale

LangGraph enabled the creation of a multi-agent system capable of handling complex workflows across distributed financial data sources

The solution provides a unified interface to access fragmented financial data, reducing complexity for enterprise users

The framework demonstrates how AI agents can be orchestrated to improve data governance and reliability in financial services