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    Home > Technology > AI Revolution in Capital Markets: How Data-Driven Insights Are Changing Investor Relations
    Technology

    AI Revolution in Capital Markets: How Data-Driven Insights Are Changing Investor Relations

    Published by Jessica Weisman-Pitts

    Posted on November 29, 2024

    4 min read

    Last updated: January 28, 2026

    An illustration depicting AI's role in enhancing investor relations, reflecting data-driven insights that reshape capital markets. This aligns with the article's focus on AI advancements led by Scalens.
    AI technology transforming investor relations in capital markets - Global Banking & Finance Review
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    Tags:innovationtechnologyinvestmentfinancial servicesData analytics

    Table of Contents

    • Leading Intelligence Augmentation in Capital Markets
    • Leveraging Exclusive Data for Investor Profiling
    • Empowering Corporate Autonomy

    Guillaume Moinet

    Byline: Tuesday Waters

    The convergence of artificial intelligence (AI) and capital markets is fundamentally changing how companies interact with investors, with the sector projected to reach $603.2 billion in 2024. At the lead of this evolution stands Guillaume Moinet, co-founder of Scalens, whose unique vision combines traditional banking expertise with technological advancement. Drawing from his experience at prestigious institutions like JP Morgan, Rothschild, and Deutsche Bank, Guillaume Moinet is leading an approach that addresses the industry’s growing need for sophisticated data analysis and investor engagement.

    Leading Intelligence Augmentation in Capital Markets

    Guillaume Moinet’s Scalens is leading the transformation in investor relations (IR), redefining how companies engage with investors through a blend of human expertise and advanced AI tools.

    One of Scalens’ key advancement lies in its ability to provide real-time market analysis, enabling companies to adopt proactive IR strategies. Using AI-powered sentiment analysis based on Investors feedbacks, and natural language processing (NLP), the platform monitors news, roadshow reports, shareholders meetings and brokers notes to gauge market sentiment about a company or its sector. For example, if a competitor faces regulatory scrutiny or releases disappointing earnings, Scalens can flag these developments in real time. This allows IR teams to craft timely responses, such as issuing reassuring statements or highlighting their company’s strengths, mitigating potential investor concerns before they escalate. Companies can stay ahead of market developments and maintain investor confidence by shifting from reactive to proactive engagement.

    Another feature of Scalens is its automation capabilities in reporting and earnings call analysis. Traditionally time-consuming tasks like transcribing calls or analyzing Q&A segments are streamlined through AI. The platform identifies key trends or concerns raised during earnings calls and flags discrepancies or recurring issues for immediate follow-up by IR teams. For example, if multiple investors express concerns about governance policies during a roadshow, Scalens ensures these issues are prioritized for management’s attention.

    Leveraging Exclusive Data for Investor Profiling

    Guillaume Moinet recognizes that modern investors, particularly institutional ones, are not a monolithic group. They have distinct preferences, strategies, and concerns that vary based on factors such as geography, management style, and investment philosophy. To effectively engage with these investors, companies must move beyond generic communication strategies. This is where Scalens’ exclusive investor feedback data becomes a game-changer.

    Scalens helps companies identify key investor pain points, preferences, and areas of potential concern. This data-driven profiling empowers companies to tailor their investor relations strategies, ensuring more targeted and effective communication. This allows companies to not only benchmark their performance against competitors but also to gauge how well their equity story resonates with investors and what improvements could be made.

    For instance, companies can leverage Scalens’ Investigate tool to analyze investor feedback in real time, extracting insights about governance, ESG concerns, and compensation strategies. This allows management teams to make data-informed adjustments to their equity narrative, corporate policies, and communication strategies, ensuring that they remain aligned with evolving investor expectations.

    Empowering Corporate Autonomy

    Guillaume Moinet’s vision for Scalens goes beyond technology—it’s about empowering companies to regain control over their investor relations strategies while utilizing the full potential of AI. Scalens is setting new standards for efficiency and effectiveness in capital markets by integrating real-time analytics, personalized communication tools, and automated reporting into a single platform. This thoughtful combination of human knowledge and technological advancement positions companies to navigate the financial landscape with agility and confidence.

    As capital markets continue to change at an accelerating pace, Guillaume Moinet’s work exemplifies how technology can provide companies with the tools to take control of their own investor relations strategies. By offering a platform that is both collaborative and intuitive, Scalens enables management teams to autonomously assess their performance, fine-tune their equity story, and strengthen governance structures without relying solely on external advisors.. Guillaume Moinet’s approach addresses current market needs and anticipates future challenges in corporate finance, ensuring that companies remain competitive in an age defined by technological advancement.

    Frequently Asked Questions about AI Revolution in Capital Markets: How Data-Driven Insights Are Changing Investor Relations

    1What is artificial intelligence (AI)?

    Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans. AI can analyze data, recognize patterns, and make decisions.

    2What is data analytics?

    Data analytics is the process of examining data sets to draw conclusions about the information they contain. It helps organizations make informed decisions based on data insights.

    3What is market sentiment?

    Market sentiment refers to the overall attitude of investors toward a particular security or financial market. It is often influenced by news, events, and economic indicators.

    4What is automation in reporting?

    Automation in reporting involves using technology to streamline the process of generating reports. This reduces manual effort, increases accuracy, and allows for real-time data analysis.

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