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: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Beeks Moves Up the Stack with Market Edge Intelligence Launch

Cloud and connectivity provider Beeks Financial Cloud Group has launched Market Edge Intelligence, an AI-driven analytics solution designed to deliver trading insights directly at the network edge, marking a significant strategic expansion from infrastructure into data intelligence. The new solution aims to solve what the firm calls a “visibility gap” for trading participants. It uses...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

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...