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LSEG and Amazon Quick join forces to revolutionize financial data access

A game-changing alliance merges LSEG's trusted financial analytics with Amazon's AI tools. Discover how this integration is reshaping data access for institutions.

The image shows a colorful design on the right side with the words "AI, Apps, IoT" written on it...
The image shows a colorful design on the right side with the words "AI, Apps, IoT" written on it against a white background.

LSEG and Amazon Quick join forces to revolutionize financial data access

London Stock Exchange Group (LSEG) has partnered with Amazon to integrate its financial data into Amazon Quick. The move aims to streamline research and workflow automation for users. By embedding LSEG’s analytics into the AI-powered platform, firms can now access key financial insights more efficiently. The collaboration allows Amazon Quick users to tap into LSEG’s extensive financial datasets. This includes real-time pricing, company reference data, macroeconomic indicators, ESG metrics, and analytical models. The integration is made possible through LSEG’s Model Context Protocol (MCP) server, ensuring seamless and secure data delivery.

LSEG’s strategy, known as LSEG Everywhere, focuses on making AI-ready content and analytics widely accessible. By embedding its licensed data directly into platforms like Amazon Quick, the company supports financial institutions in adopting AI tools at scale. The partnership also enhances interoperability, reducing friction for users who rely on multiple systems.

The secure, scalable access provided by this integration helps firms build and deploy AI solutions more effectively. LSEG’s commitment to delivering trusted data into AI environments aligns with the growing demand for reliable financial intelligence in automated workflows. This integration expands the reach of LSEG’s financial data within AI-driven tools. Firms using Amazon Quick can now leverage a broader range of analytics, accelerating their AI adoption. The partnership reflects a broader push to make financial data more accessible and actionable in modern workflows.

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