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

A-Team Insight Briefs

Bridgewise Launches BRIDGET Conversational AI Tool for Investment Insights

Subscribe to our newsletter

Capital markets intelligence and analysis company Bridgewise has unveiled BRIDGET, a Conversational AI investment tool tailored for institutional investors, brokers, and trading platforms. BRIDGET leverages large language models (LLMs) to transform static investment intelligence reports into dynamic, multilingual dialogues, offering regulatory-compliant investment recommendations across more than 25 languages and 15 markets, covering over 50,000 financial instruments globally.

Unlike general AI models, BRIDGET is designed to provide actionable buy/sell advice, specifically addressing gaps in finance-focused expertise and eliminating AI “hallucinations” that lead to inaccurate suggestions. Its specialized Micro Language Model (MLM) ensures precision in investment-related topics. As generative AI is projected to add between $200-$340 billion in value annually to the banking sector, BRIDGET aims to support the financial industry’s demand for innovative, compliant, and client-responsive solutions.

Gaby Diamant, Co-Founder and CEO of Bridgewise, comments: “By integrating advanced AI with regulatory compliance, we are not only enhancing the efficiency and accuracy of investment decisions but also ensuring that these decisions are made within a secure and compliant framework.” He adds: “This tool is a game-changer for financial institutions looking to stay ahead in a rapidly evolving sector, and to empower their analysts and investors to interact with data in a more intuitive and insightful manner, thereby enhancing decision-making processes.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Enhancing Buy-Side Trading Efficiency: Navigating Interoperability and AI in Real Workflows

Enhancing Buy-Side Trading Efficiency: Navigating Interoperability and AI in Real Workflows Emerging capabilities in AI and interoperability are transforming trading workflows, with the promise of heightened levels of collaboration and personalisation resulting in greater efficiency and performance. The potential of these new technologies is encouraging financial firms to modernise their trader desktops and streamline operational...

BLOG

QuantCube Tackles ESG with Macroeconomic Data

Macroeconomic research specialist QuantCube Technology is targeting environmental, social, and governance (ESG) compliance with a new asset-mapping database aimed at helping financial institutions monitor the risk exposure of their physical assets. The tool focuses on the data gap faced by banks, insurance companies, asset managers, and corporates in assessing (ESG) risks at a granular level,...

EVENT

TradingTech Summit London

Now in its 14th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Entity Data Management Handbook – Fourth Edition

Welcome to the fourth edition of A-Team Group’s Entity Data Management Handbook sponsored by entity data specialist Bureau van Dijk, a Moody’s Analytics company. As entity data takes a central role in business strategies dedicated to making the customer experience markedly better, this handbook delves into the detail of everything you need to do to...