Databricks' Agentic AI Plan For the London Stock Exchange

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.

Data integration for the London Stock Exchange

LSEG will deliver its data natively in Databricks via Delta Sharing, initially covering Lipper Fund Data & Analytics and Cross Asset Analytics, including Historical Analytics.

This collaboration aims to expand to include pricing, reference data, models like Starmine, fundamentals, estimates, economics and tick history.

All datasets will be accessible on Databricks Marketplace through Delta Sharing, Databricks' open-source method for distributing live data and AI assets across various platforms.

This eliminates the necessity for complex pipelines or vendor lock-in processes, which have typically hindered the integration of financial data.

The collaboration addresses a distinct challenge within the industry. Current batch-based data delivery systems in financial services demand manual intervention, causing delays.

Analysts and data scientists often find themselves integrating data, rather than constructing models to address market fluctuations.

“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.”

Behind Databricks' agents

Agent Bricks on Databricks allows financial teams to merge raw tick history or reference data with enterprise data to launch production agents for investment analytics, risk management and trading workflows.

This technology reduces deployment timelines from months to days while offering built-in accuracy optimisation, governance and cost-efficiency.

Global banks can utilise Agent Bricks to integrate 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 supports three essential use case categories. Investment analytics concentrates on market intelligence, back-testing and portfolio optimisation for AI-driven investment strategies.

Trade analytics involves real-time market analysis, transaction cost analysis, predictive forecasting and algorithmic trading for improved intraday decision-making.

Risk management streamlines market, credit and counterparty risk oversight through AI-driven surveillance, exposure monitoring and real-time compliance across the entire operation.

“By leveraging Delta Sharing, teams can access and integrate live financial data without complex pipelines or vendor lock-in," explains Stephen.

"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 engagement in Databricks Marketplace is part of a wider strategy to integrate with client platforms and workflows.

The goal is to deliver trusted data directly where customers need it without relying on separate, standalone systems.

More than 20,000 organisations worldwide utilise the Databricks Data Intelligence Platform, including over 60% of Fortune 500 companies.

Companies such as Block, Comcast, Condé Nast, Rivian and Shell are among current Databricks customers across different sectors.

LSEG functions as a financial markets infrastructure and data provider with substantial 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 capitalises on Databricks’ roots as the original creator of Lakehouse, Apache Spark, Delta Lake, MLflow and Unity Catalog technologies. The company maintains its headquarters in San Francisco with offices worldwide.

"This partnership with Databricks marks an important step in bringing LSEG’s trusted data to where customers need it most," says Emily Prince, Group Head of Analytics & AI at LSEG. 

"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 motivation to integrate with the platforms and workflows clients use most, helping them unlock value."