S&P's Kensho Cracks Financial Data Chaos with LangGraph Agents
Fragmented financial data? Kensho's new Grounding framework uses LangGraph to route queries to specialized agents, delivering cited, compliant insights. But is this the enterprise AI fix we've waited for?
⚡ Key Takeaways
- Kensho's Grounding uses LangGraph to route natural language queries to specialized financial data agents, unifying S&P's silos.
- Custom DRA protocol ensures consistent, cited responses—key for compliance in finance AI.
- Strategy echoes Bloomberg Terminal's unification but for agentic workflows; potential fintech disruptor if externalized.
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Originally reported by LangChain Blog
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