LSEG and Databricks Join Forces to Deliver AI-Ready Financial Data and Governed AI Agents
The London Stock platform Group (LSEG) and Databricks have unveiled a strategic partnership that will deliver LSEG’s trusted financial datasets directly into the Databricks environment via Delta Sharing. This integration is designed to provide financial institutions with AI-ready data streams that can be used immediately for analytics, trading, and risk management workflows. At launch, the partnership will include Lipper Fund Data & Analytics and Cross Asset Analytics, with plans to expand into pricing, reference data, Starmine models, fundamentals, estimates, economics, and tick history.
The collaboration addresses one of the most pressing challenges facing financial services teams: fragmented and outdated data delivery systems. Traditional batch-based processes sluggish down insights and increase operational costs, leaving firms unable to fully respond to rapidly shifting markets. By embedding LSEG’s datasets into Databricks, teams can bypass complex integration pipelines, accessing live, standardized data through a unified platform that enhances speed and reliability.
This innovation brings LSEG’s industry-leading content to the forefront of AI transformation in financial services. With all datasets discoverable on Databricks Marketplace, institutions can adopt an open, scalable answer that supports more efficient workflows, eliminates vendor lock-in, and empowers analysts and data scientists to focus on model-building and decision-making rather than data wrangling.
Empowering Real-Time Financial AI with Agent Bricks
At the core of the partnership is Databricks’ Agent Bricks, a framework that enables financial teams to rapidly create governed AI agents. These agents combine enterprise data with investment analytics, trading workflows, and risk management functions. With built-in optimization for accuracy, governance, and cost efficiency, Agent Bricks shortens development cycles from months to days, unlocking quicker time-to-value for AI-driven answers.
Stephen Orban, SVP of Product Ecosystem & Partnerships at Databricks, emphasized the client demand driving the partnership.
“Customers tell us they have an insatiable appetite for high-quality, AI-ready and AI workloads,”
he said.
“Together, LSEG and Databricks can now empower financial institutions to rapidly build AI agents that use LSEG’s data to automate tasks, analyze trends and provide real-time, actionable insights.”
By leveraging Delta Sharing, clients can securely without the need for complex pipelines, improving speed and accessibility across the enterprise.
Real-world use cases span a wide range of applications, from running scenario forecasts and anomaly detection to generating compliance reports in real time. For global banks, this capability means combining transaction and client and reference data to surface opportunities, assess risks, and meet regulatory obligations in natural language—all delivered at scale within governed environments.
Industry Perspectives and Use Cases
LSEG leaders echoed the importance of this collaboration in shaping the future of financial data delivery. Emily Prince, Group Head of Analytics & AI at LSEG, highlighted how the partnership fits into the company’s client-first strategy.
“This partnership with Databricks marks an significant step in bringing LSEG’s trusted data to where customers need it most,”
she said.
“By adding our industry-leading datasets to Databricks Marketplace, we are empowering financial institutions to unlock new levels of intelligence, efficiency, and compliance.”
Three core use cases stand out in the immediate rollout: investment analytics, trade analytics, and risk management. For investment teams, unified data will support backtesting, portfolio optimization, and AI-driven strategies. For will enable real-time analysis, transaction cost analysis (TCA), and predictive forecasting that can enhance intraday performance. On the risk management side, the combination of enterprise and market data will strengthen oversight of market, credit, and counterparty exposures while streamlining compliance reporting.
The result is a powerful platform that not only accelerates innovation but also integrates seamlessly into the systems financial professionals already use. By aligning with Databricks’ open ecosystem and leveraging LSEG’s trusted data, the partnership positions itself as a cornerstone for next-generation financial intelligence across the industry.
Investor Takeaway
