How LSEG and Databricks Enable AI Agent Market Data Access

Financial institutions can now deploy AI agents directly onto London Stock Exchange Group market data following a strategic partnership with Databricks. 

The collaboration brings LSEG’s financial data natively into the Databricks platform, starting with Lipper Fund Data & Analytics and Cross Asset Analytics, and addresses a sector shift from AI experimentation to enterprise-scale deployment. Financial services teams can now combine LSEG market data with their own datasets to build and deploy AI agents for real-time investment analytics, risk management and trading workflows using Databricks Agent Bricks.

LSEG data integration through Delta Sharing

LSEG will deliver its data natively in Databricks via Delta Sharing, with the initial launch covering Lipper Fund Data & Analytics and Cross Asset Analytics, including Historical Analytics. The partnership plans to expand to include pricing, reference data, models such as Starmine, fundamentals, estimates, economics and tick history.

All datasets will be discoverable on Databricks Marketplace through Delta Sharing, Databricks' open source approach for sharing live data and AI assets across platforms. This removes the need for complex pipelines or vendor lock-in arrangements that have traditionally slowed financial data integration.

The collaboration targets a specific industry pain point. Financial services teams currently struggle with outdated, batch-based data delivery systems that require manual intervention. Analysts and data scientists spend significant time integrating data rather than building models to respond to market conditions.

“Customers tell us they have an insatiable appetite for high-quality, AI-ready data to accelerate their analytics and AI workloads,” says Stephen Orban, SVP, Product Ecosystem & Partnerships at Databricks. “Together, LSEG and Databricks can now empower financial institutions to quickly build AI agents that use LSEG’s data to automate tasks, analyse trends and provide real-time, actionable insights.”

Databricks Agent Bricks enable production deployment

Agent Bricks on Databricks allows financial teams to combine raw tick history or reference data with enterprise data to launch production agents for investment analytics, risk management and trading workflows. The technology reduces deployment timeframes from months to days while providing built-in accuracy optimisation, governance and cost efficiency.

Global banks can use Agent Bricks to combine transaction and client data with market and reference data. This enables natural language surfacing of investment opportunities and portfolio risks, scenario forecasting, anomalous trading detection and real-time compliance report generation.

The partnership enables three key use case categories. Investment analytics covers market intelligence, backtesting and portfolio optimisation for AI-driven investment strategies. Trade analytics encompasses real-time market analysis, transaction cost analysis, predictive forecasting and algorithmic trading for enhanced intraday decision-making. Risk management unifies market, credit and counterparty risk oversight through AI-driven surveillance, exposure monitoring and real-time compliance across front-to-back office operations.

Stephen continues: “By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in. This gives them a simple, secure way to go from raw data to smarter decisions about investments, risk and trading in just days.”

LSEG Databricks Marketplace integration strategy

LSEG’s participation in Databricks Marketplace represents part of a broader strategy to integrate with client platforms and workflows. The approach aims to deliver trusted data where customers require it rather than through separate, standalone systems.

More than 20,000 organisations worldwide use the Databricks Data Intelligence Platform, including over 60% of Fortune 500 companies. Block, Comcast, Condé Nast, Rivian and Shell are among current Databricks customers across various sectors.

LSEG operates as a financial markets infrastructure and data provider with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. The company employs over 26,000 people globally, with more than half located in Asia Pacific.

The partnership builds on Databricks’ foundation as the original creator of Lakehouse, Apache Spark, Delta Lake, MLflow and Unity Catalog technologies. The company maintains headquarters in San Francisco with global offices.

Emily Prince, Group Head of Analytics & AI at LSEG, says: “This partnership with Databricks marks an important step in bringing LSEG’s 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.”