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: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Past, Present, and Future of AI and Machine Learning in Trading and Investment Management

On this episode of FinTech Focus TV recorded at A-Team Group’s Buy AND Build Summit, Toby Babb of Harrington Starr sits down with David Marcos, Founder and Managing Partner at Quantoro Technologies, to explore how AI agents are redefining trading, portfolio management, and the investor experience. From simplifying complex investment strategies to the rise of...

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

Data Lineage Handbook

Data lineage has become a critical concern for data managers in capital markets as it is key to both regulatory compliance and business opportunity. The regulatory requirement for data lineage kicked in with BCBS 239 in 2016 and has since been extended to many other regulations that oblige firms to provide transparency and a data...