About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

FactSet Releases LLM-Based Knowledge Agent for Junior Bankers

Subscribe to our newsletter

FactSet, a digital platform and enterprise solutions provider, has released the beta version of FactSet Mercury, a knowledge agent based on a large language model (LLM) and designed to power digital workflows and enhance fact-based decision making.

The solution optimises company research workflows for junior bankers, offering a single, trusted conversational interface to access key company information with supporting context and actionable next steps. Users can access FactSet’s financial fundamentals and pricing data, along with bank and branch regulatory data through an integrated suite of generative AI (GenAI) tools surfaced in a single chat interface.

Kendra Brown, senior director, banking and sell-side research at FactSet, comments: “By providing a seamless conversational interface, we are streamlining the research process and empowering users with comprehensive data and actionable insights. With FactSet Mercury, we are enhancing productivity and delivering personalised, connected content to our clients.”

The release of FactSet Mercury is part of FactSet Explorer, a product preview programme developed under FactSet’s AI Blueprint. The programme enables clients to gain early access to GenAI-powered beta products and contribute directly to their development. FactSet is working with a number of banking clients, with plans to scale the Explorer programme across its buy-side and wealth client segments.

Subscribe to our newsletter

Related content


Recorded Webinar: Potential and pitfalls of large language models and generative AI apps

Large language models (LLMs) and Generative AI applications are a hot topic in financial services, with vendors offering solutions, financial institutions adopting the technologies, and sceptics questioning their outcomes. That said, they are here to stay, and it may be that early adopters of Generative AI apps could gain not only operational benefits, but also...


FinTech Veterans Create Data, Technology and Services ‘Ecosystem’ to Solve Regulatory Challenges

The battery of ESG and financial regulations introduced in the past few years – and the future rules already in an advanced state of preparation – are weighing on institutions as the threat of censure for breaches increases. But a team of FinTech specialists has come up with a novel approach to helping all parties,...


ESG Data & Tech Summit London

The ESG Data & Tech Summit will explore challenges around assembling and evaluating ESG data for reporting and the impact of regulatory measures and industry collaboration on transparency and standardisation efforts. Expert speakers will address how the evolving market infrastructure is developing and the role of new technologies and alternative data in improving insight and filling data gaps.


Regulatory Data Handbook 2019/2020 – Seventh Edition

Welcome to A-Team Group’s best read handbook, the Regulatory Data Handbook, which is now in its seventh edition and continues to grow in terms of the number of regulations covered, the detail of each regulation and the impact that all the rules and regulations will have on data and data management at your institution. This...