Paris, June 2026 – SESAMm is delighted to welcome Adeline Diab to its Advisory Board, a senior investment executive who has spent two decades integrating financial rigor, thematic strategy, and sustainable finance as one investment discipline.
Across roles at Bloomberg, Man Group, APG Asset Management, and the World Bank, she has managed funds up to €2 billion and overseen strategies across $450 billion in multi-asset portfolios, converting the structural forces reshaping markets, from decarbonization to digitalization, into investment signals and portfolio strategy across public and private markets.
Most recently, as Managing Director and Head of Investment Strategy & Research (Sustainability & Thematic) at Bloomberg Intelligence, she built a global multi-asset research and analytics platform, developing the proprietary thematic frameworks and AI-driven tools behind investment decisions for clients worldwide.
A recognized voice on sustainable finance and governance, she is a regular speaker at international forums including Davos, COP, and PRI, and has helped shape industry standards through GFANZ, UNEP FI, and the OECD. Today, she serves as Senior Expert Advisor to The Earthshot Prize and backs growth ventures such as Notpla, a conviction she now extends to SESAMm.
Powered by large language models and generative AI, SESAMm's platform cuts through the noise across all listed markets and five million private companies, surfacing financial, sustainability, governance, and conflict-related risks, and translating controversy into the precision intelligence investors need to act, not just report.
Adeline joins SESAMM’s advisory group, which brings togetherleading figures across the investment management, sustainable finance, and financial data, including David Platt and Magnus BIlling, amongst others.
Paris, France – November 12, 2025 – SESAMm, a leader in AI-powered text analysis for financial services, proudly announces its inclusion in the ESGFinTech100 list by FinTech Global for the third consecutive year. This recognition highlights SESAMm's commitment to sustainability and ESG through the application of advanced AI technologies.
FinTech Global's annual ESGFinTech100 list, now in its fourth year, showcases the top 100 ESG companies that are revolutionizing the financial services industry. The list is carefully curated by a panel of industry experts who evaluate over 500 ESG tech companies worldwide. This year’s criteria focused on innovative technology solutions addressing a significant industry challenge, as well as their contributions to ESG imperatives and sustainability improvements for clients.
"We’re proud to be recognized again among the ESGFinTech100, alongside innovators redefining the role of technology in sustainable finance. At SESAMm, we believe the future of ESG lies in intelligence that’s both real-time and actionable. Our mission is to make external data speak — transforming how investors, corporations, and financial institutions understand risk and opportunity.” Said Sylvain Forté, SESAMm’s CEO. “Looking ahead, we’re building on this foundation with SESAMm’s own AI-powered agents, automating entire workflows from risk detection to report generation. These systems make ESG intelligence seamless, embedded, and action-ready."
The inclusion of SESAMm in this year's ESGFinTech100 underscores the rising significance of ESG factors in the financial sector. As institutions increasingly focus on sustainability, SESAMm leverages AI to enhance operational efficiencies while supporting ESG initiatives.
About SESAMm
SESAMm is a global leader in controversy data, leveraging advanced large language models and generative AI to uncover ESG, reputational, and supplier risks in seconds. Our AI-powered platform surfaces real-time insights, even in low-disclosure markets, on millions of companies and infrastructure projects, supporting more informed decisions, enhanced due diligence, and regulatory alignment at scale. We work with leading firms, including Carlyle, Warburg, Natixis, RBI, Sustainable Fitch, Oddo, and others. SESAMm has raised $50M from renowned investors and operates across four continents. Learn more at www.sesamm.com
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
Chinese companies face elevated ESG risk exposure as scale, rapid growth, and cross-border operations intersect with tighter regulations and geopolitical pressures. Social risks cluster around worker rights and customer harm: “996” overwork and layoffs in tech, safety failures in new technologies and EVs, and severe labor allegations in global supply chains.
Governance risks are the dominant theme, reflected across multiple jurisdictions and industry sectors: recurring regulatory enforcement and compliance failures, litigation-heavy operating models, weak internal controls, and heightened disclosure, audit, and listing pressure in overseas markets. A major amplifier is data-security and national-security risk, with allegations of illegal data collection or leaks and intensifying foreign scrutiny over potential military ties and state influence.
Environmental risks cluster around manufacturing pollution and emissions compliance, alongside chemical-product safety and carbon-intensive logistics footprints in fast fashion and e-commerce.
What are the most pressing ESG challenges currently facing Chinese companies? Read on to find out.
Alibaba: Navigating Controversies and Governance Challenges
In parallel, integrity and geopolitical risks heighten scrutiny, notably through a police investigation into alleged supply-chain corruption at Ele.me, U.S. probes related to data privacy and alleged military links, and a $433.5 million investor lawsuit recovery. Environmental exposure remains primarily supply-chain and footprint-driven, including a 2025 pesticide finding and emissions-related criticism in Belgium. Based on SESAMm’s UNGC screening, we found that several of Alibaba’s controversies show potential alignment concerns with UN Global Compact principles, reinforcing the need for continuous monitoring.
Shein: Heavy ESG Scrutiny Amid Legal and Environmental Challenges
Similarly, Shein faces sustained ESG pressures across governance, environmental, and social dimensions, reflected in its high CES of 89/100, indicating material and ongoing exposure. Social risks include allegations of exploitative factory conditions,disclosed child-labor cases, and reputational backlash linked to cultural appropriation and marketing practices, alongside integrity concerns such as reported coordinated bot activity to defend the brand online.
BYD: Risks and Controversies Demand Ongoing Monitoring
BYD’s ESG profile reflects sustained controversy exposure, with a CES score of 89/100, indicating material and ongoing risk. Social risks include product-safety concerns, notably the Atto 3 receiving the lowest-ever assisted-driving safety score and a recall of more than 16,000 EVs; more critically, Brazilian authorities shut down a factory site over alleged “slavery-like” labor conditions and battery mineral sourcing linked to human-rights abuses, culminating in a $50 million lawsuit.
Governance risks are cross-border and multifaceted, spanning tax-fraud allegations, IP disputes such as BMW’s “M6” trademark case, EU scrutiny over potential unfair Chinese subsidies at BYD’s Hungary plant, concerns in South Korea regarding possible in-vehicle data leakage, a securities-fraud investigation notice, and U.S. designation activity linking BYD to Chinese military-affiliated entities. Meanwhile, environmental exposure centers on factory pollution at Changsha tied to reported health impacts and heightened emissions-compliance scrutiny following accusations of emissions cheating.
From a UNGC perspective, a number of BYD’s controversies show potential alignment concerns with UN Global Compact principles, particularly around labor rights and governance, and reinforcing the importance of ongoing monitoring.
Conclusion
Taken together, Alibaba, Shein, and BYD illustrate how scale, speed, and global expansion can amplify ESG exposure when governance, labor oversight, and compliance controls lag behind operational growth. High CES scores across all three companies underscore that these risks are not isolated incidents but structural and recurring in nature.
As the year closes, it's time to reflect on some of our favorite moments, so we've compiled a list of the top 10 blog posts highlighting the most popular and insightful content we've published. From alternative data trends to NLP and ESG topics, these posts have resonated with you, our readers, and hopefully, continue to provide valuable information and inspiration. Join us as we look back at the top 10 posts of the year and see what made them stand out.
It's truly humbling that this blog post, celebrating our eighth anniversary, made the top 10 list. It reflects on the progress we've made and the milestones we achieved over the past eight years. We also discuss our plans for the future and our commitment to continuing to innovate and provide high-quality solutions for our clients.
#9 3 Remarkable Trends NLP Text Mining Exposes About Used Cars & U.S. Inflation
Back in May, we revealed inflation trends in the used car market and identified specific trends and patterns that can help predict changes in the market and inform investment decisions.
Suppose you're interested in learning how AI technology can improve the efficiency and accuracy of financial analysis. In that case, you won't want to miss this blog post. In it, we discuss a case study involving Tokio Marine Nichido, one of the largest insurance companies in Japan. By partnering with SESAMm, they were able to implement our AI-powered solutions and achieve impressive results, including increased productivity and a more comprehensive understanding of their data. This post provides valuable insight into the potential of AI technology and its real-world applications in the financial industry.
Are you curious about how we use AI technology to gain valuable financial insights from news and social media? This blog post is a must-read. We discuss how SESAMm's AI-powered solutions can analyze a vast amount of data from these sources and extract valuable information that can inform investment decisions. From predicting market movements to identifying trends and patterns, our technology provides a unique and powerful way to stay ahead of the game in the financial industry.
Learn more about the role of alternative data in the financial industry. In this blog post, we discuss how SESAMm's AI technology can analyze a wide range of data sources, such as news and social media, to identify controversies and potential risks in the market. By providing a more comprehensive view of a company or investment, our solutions can help investors make informed and strategic decisions. Overall, this post offers valuable insights into the potential of alternative data and its role in the financial industry.
Read this quick guide to natural language processing, a subfield of AI technology that focuses on the interaction between computers and human language. We discuss the basics of NLP, including its history and applications, as well as the challenges and opportunities it presents. It also provides an overview of SESAMm's NLP technology and its role in the financial industry. This post offers a valuable introduction to NLP for those interested in learning more about this exciting field of AI technology.
One of the year's biggest news events was the exclusion of Tesla from the S&P 500 ESG index, a huge hit for the electric car manufacturer and a sign of the growing importance of ESG criteria in the financial industry. This blog post discusses the event's significance and provides insight into the potential of ESG data and its role in informing investment decisions.
This blog post discusses how knowledge graphs are at the core of text analysis and provide valuable insights for investors. We explain how these graphs, representing real-world entities and their relationships, can analyze large amounts of data and extract valuable information. We also discuss how SESAMm's AI technology can generate and use knowledge graphs to provide a more comprehensive view of a company or investment and support decision-making in the financial industry.
Learn how organizations use NLP technology to detect greenwashing, the practice of making false or misleading claims about a company's environmental practices. We explain how SESAMm's AI technology can analyze large amounts of data, including news and social media, to identify inconsistencies and potential risks in a company's ESG claims. This post also offers valuable insight into the potential of NLP technology to support responsible investment and combat greenwashing in the financial industry.
At number one, your favorite post is about the potential of AI technology to provide valuable insights into ESG data. Here, we discuss how SESAMm's AI-powered solutions can analyze a wide range of alternative data sources, including news and social media, to provide a more comprehensive view of a company or investment's ESG performance. This post offers valuable insight into the role of AI in responsible investment and the potential of alternative data in informing ESG analysis.
Thank you for reading through this year's 10 most-popular blog posts. Which is your favorite, and how would you rate them?
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