Finance
LSEG partners with Anthropic to bring financial data access to Claude users
Published by Global Banking & Finance Review®
Posted on October 27, 2025
1 min readLast updated: January 21, 2026
Global Banking & Finance Review®
Company
Published by Global Banking & Finance Review®
Posted on October 27, 2025
1 min readLast updated: January 21, 2026
LSEG collaborates with Anthropic to provide Claude users access to licensed financial data, enhancing financial analysis automation.
(Reuters) -London Stock Exchange Group on Monday said it is collaborating with artificial intelligence startup Anthropic to give Claude users access to data licensed through LSEG products.
LSEG shares rose by as much as 1.7% after the announcement.
The company said Workspace and Financial Analytics will be accessible through Anthropic's expanded Claude for Financial Services offering, allowing customers to automate financial analysis.
"With LSEG's trusted data, Claude is able to summarize earnings calls, scan diligence materials, trigger agentic workflows and surface instant market signals – all with enterprise-grade controls," Nicholas Lin, head of product, financial services at Anthropic, said.
Reuters provides news for LSEG's Workspace product.
(Reporting by Shanima A in Bengaluru; Editing by Vijay Kishore)
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. It includes learning, reasoning, and self-correction, and is used in various applications, including financial services.
The London Stock Exchange (LSEG) is one of the largest stock exchanges in the world, providing a platform for companies to raise capital by listing shares and for investors to buy and sell securities.
Earnings calls are conference calls held by public companies to discuss their financial performance with analysts and investors, typically following the release of quarterly earnings reports.
Market signals are indicators that provide information about the current state of the market, helping investors make informed decisions based on trends, price movements, and other relevant data.
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