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

From Broker Bias to Independent Insight: The Case for Cloud-Native TCA

For years, the path of least resistance for buy-side transaction cost analysis (TCA) was simple: let the broker do it. Historically, asset managers have relied on their execution counterparties to provide post-trade reporting. It was a workflow of convenience. Brokers executed the trades and subsequently provided the analysis on how well they performed. However, this...

EVENT

TEST Event page 2

Now in its 15th 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

Corporate Actions 2009 Edition

Rather than detracting attention away from corporate actions automation projects, the financial crisis appears to have accentuated the importance of the vital nature of this data. Financial institutions are more aware than ever before of the impact that inaccurate corporate actions data has on their bottom lines as a result of the increased focus on...