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: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

From Noise to Signal: How AI is Revolutionising Data Discovery for Traders and Investment Managers

The financial markets have never suffered from a lack of data. If anything, the challenge for modern traders and investment managers is quite the opposite: they are drowning in it. From real-time pricing and news feeds to unstructured earnings call transcripts and social media sentiment, the volume of information is immense. The critical differentiator in...

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

Entity Data Management & the LEI

Just over a year since the Financial Stability Board handed over leadership and direction of the interim Global Legal Entity Identifier System – or GLEIS – to the Regulatory Oversight Committee (ROC) of the LEI the entity identifier is being used for reporting under European Market Infrastructure Regulation. This report discusses recent developments in the...