LSEG and Databricks partnered to deliver LSEGās financial data natively within the Databricks platform via Delta Sharing. The collaboration aims to enable financial institutions to build and deploy AI agents using a combination of LSEGās market data and their own enterprise data for real-time analytics, risk management, and trading workflows.
The partnership will launch with LSEGās Lipper Fund Data & Analytics and Cross Asset Analytics, with additional datasets including pricing, reference data, fundamentals, and tick history to follow.
Unifying data to address market challenges
The integration is designed to address a common challenge in the financial services industry, where teams are often hampered by outdated, batch-based data delivery systems that are slow and costly. According to the announcement, analysts and data scientists frequently spend more time integrating disparate data sources than building the models needed to respond to fast-changing market conditions.
By unifying financial data on a single platform, the partnership intends to help firms make smarter decisions and innovate faster across functions like portfolio management, risk management, and forecasting. All LSEG datasets will be discoverable on the Databricks Marketplace.
Enabling real-time financial AI agents
A key component of the collaboration is the use of Databricks Agent Bricks, which allows financial teams to launch production-ready AI agents in days rather than months. These agents can combine LSEGās reference data or raw tick history with a firmās internal enterprise data to automate tasks and provide insights in natural language. Use cases include identifying investment opportunities, running scenario forecasts, detecting anomalous trading, and auto-generating compliance reports in real time.
āCustomers tell us they have an insatiable appetite for high-quality, AI-ready data to accelerate their analytics and AI workloads,ā said Stephen Orban, svp of product ecosystem and partnerships at Databricks. āTogether, LSEG and Databricks can now empower financial institutions to quickly build AI agents that use LSEGās data to automate tasks, analyse trends and provide real-time, actionable insights. By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in.ā
Emily Prince, group head of analytics and AI at LSEG, commented: āThis partnership with Databricks marks an important step in bringing LSEGās trusted data to where customers need it most. By adding our industry-leading datasets to Databricks Marketplace, we are empowering financial institutions to unlock new levels of intelligence, efficiency, and compliance. It highlights our drive to integrate with the platforms and workflows clients use most, helping them unlock value.ā
The partnership is set to unlock key use cases across investment analytics, enabling smarter AI-driven strategies through enhanced backtesting and portfolio optimisation. For trade analytics, it will support real-time market analysis and predictive forecasting, while in risk management, it will help unify market and credit risk oversight through AI-driven surveillance and real-time compliance.
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