June 2026

LSEG introduces Deep Research agent in Workspace

  1. Overview
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LSEG is introducing Deep Research, an AI agent in LSEG Workspace designed to help investment professionals turn trusted data into actionable intelligence across their daily workflows. Deep Research is available within LSEG Workspace and LSEG Workspace in Microsoft Teams, enabling users to generate, validate and share insights within the tools they already use.

“With Deep Research in Workspace, our clients can ask the most complex questions and trust the answer - grounded in LSEG data, with reasoning they can trace back to the source,” says Nej D’Jelal, Group Head of Workflows at LSEG.

Investment teams are managing growing volumes of structured and unstructured data - across financials, transcripts, news and research - often spread across fragmented systems. This increases the time required to move from data to decision-ready insight across core workflows such as idea generation, company analysis, and client preparation.

Screenshot of Workspace AI showing a deep research analysis on gold and USD returns, with a summary statistics table and data sources panel on the right.

Deep Research enables users to ask complex financial questions in natural language and orchestrates workflows across LSEG’s trusted data to generate actionable research outputs.

For example:

  • Portfolio managers and analysts can generate insights from financial data, supporting idea generation, investment analysis and scenario modelling
  • Analysts can test hypotheses, explore multiple data sources, including filings, transcripts and presentations, and build evidence-based views more efficiently
  • Investment teams can turn fragmented structured and unstructured data into transparent, visualised insights, accelerating the move from question to analysis

The agent dynamically coordinates queries across structured datasets and unstructured content, helping users move more quickly from question to insight.

Trusted, transparent and auditable outputs

Deep Research is built on LSEG’s trusted data and is designed to deliver transparent, explainable and auditable outputs. Responses include:

  • Data sources
  • Clear provenance of inputs and assumptions
  • Explainable AI workflows that enable users to understand how outputs are generated

This supports institutional-grade research standards and gives users confidence in the insights they act on. And the outputs can be shared seamlessly with Workspace users via Open Directory.

Content coverage

Deep Research leverages a broad set of LSEG content, including: 

  • End of day prices
  • IBES estimates and aggregates
  • Key economic time series
  • Reuters economic polls
  • WorldScope fundamentals
  • News from Reuters, Business Wire & PR Newswire 
  • Transcripts
  • US filings

Additional datasets will continue to be integrated, including corporate actions, ownership, and economic release calendars, alongside further expansion of market and economic coverage.

By combining trusted LSEG data with AI-powered orchestration and explainable, auditable outputs, Deep Research represents a significant step forward in delivering actionable intelligence across financial workflows in LSEG Workspace. 

Deep Research is available within LSEG Workspace and LSEG Workspace in Microsoft Teams.

Hi, I'm Devon Reichelt, Global Director of AIPartnerships at the London Stock Exchange Group.This video is an introduction to our new breakthroughAI capability and workspace called Deep Research.Deep Research lets you do in-depth analysis on ourtrusted LSEG content sets. Users can ask questionswithin a system built for financial services. SinceDeep Research understands financial terms, the answerscome back in the language of market professionals.It's a platform we've built over the past year thatsits on the top of a variety of leading models.To use one example, let's say you want to dosome analysis of Honeywell's recent earnings.You want to know how far off those results arefrom estimates. You're also looking at the trends onhow Honeywell has traded 50 days out from itsearning reports previously in situations like this.In addition, you want to knowabout the possible impactof Middle East instability on Honeywell's 2026 revenueas well as peer analysis on the company's results.Now, these are complex questions.But DeepResearch can provide answersusing multiple LSEG data sets, such asour pricing and time series information,from DataStream.DataStream contains tens of millions of different timeseries that include cross -asset data, equities,commodities, bonds, and an abundance of economic content,including cornerstone assets like IBIS estimates.DeepResearch looks at our data sets holistically.It creates charts and graphs on the detailspage. This information can then be exportedto Excel, where it can be adapted oroverlaid with other proprietary information.Deep research learns as it works for you.Users get high-quality information, context, andconstant replanning with a view into code generation.The more you use the tool, themore your answers will improve.Right now, you can share deep researchresponses in chats via Teams and Open Directory.And the number of LSEG datasetsavailable is rapidly expanding.We know this is just a light touch viewof what deep research can do for you.Take it for a test drive yourself to learn more.The time to start using the capability is now. Thanks for watching.

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