We have exciting news to share! Real Deals has recognized SESAMm for Best ESG Tech for TextReveal® ESG Alerts at the Real Deals ESG Awards 2022! These awards focus on: 1. a mixture of demonstrable customer and revenue growth; 2. detailed overviews of how new initiatives, products, or services have aided the business and helped their clients

ESG monitoring is becoming increasingly critical as legislation and stakeholders focus on sustainability, positive impact initiatives, and CSR. Early detection of controversies and positive impact events for private and public companies is possible through natural language processing (NLP)-powered technologies. SESAMm's ESG and SDG Alerts use AI to give firms the ability to monitor millions of public and private companies worldwide, providing more objective indicators.

A big thanks to SESAMm's investors, partners, and clients

We thank our clients, investors, and partners for your support and patronage. Thank you for being such a big part of SESAMm; you're why we do what we do, and many of you have been involved since day one. And your generous and encouraging attitude has helped get us here today.

Of course, we're honored to earn the ESG Tech award at Real Deals ESG Awards 2022. We're also excited for our clients and partners. And while we have more work to do and clients to serve, we think the future looks bright for us, our partners, and our clients.

About SESAMm and TextReveal

SESAMm is a leading NLP technology company serving global investment firms, corporations, and investors, such as private equity firms, hedge funds, and other asset management firms. Through TextReveal, we give you NLP capabilities to generate your own alternative data for use cases, such as ESG and SDG, sentiment, private equity due diligence, corporation studies, and more. And with access to SESAMm’s massive data lake, made up of 20 billion articles and messages and growing, you can make better investment decisions.

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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.

#10 Open SESAMm: Our 8th Anniversary

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.

#8 Predicting stock price movements using news and social media data

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.

#7 How AI Power Turns News and Social Media Content Into Financial Insights

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.

#6 How Alternative Data Identifies Controversies Before Mainstream Sources With Examples

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.

#5 What Investors Ought to Know About Natural Language Processing: A Quick Guide

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.

#4 S&P 500 ESG Index Drops Tesla: This Analysis Supports the Decision

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.

#3 What Investors Ought to Know About Knowledge Graphs: The Core of Text Analysis

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.

#2 How Organizations Are Using NLP To Detect Greenwashing

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.

#1 Gain Insights From Financial and ESG Data Using AI: A Comprehensive Guide

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?

Let us know what you think on Twitter or LinkedIn.

As we mark Earth Day 2025, it’s clear we’re at a defining moment. Despite decades of activism and innovation, the ecological crisis continues to accelerate, driven by climate change, biodiversity loss, and unsustainable resource use. But alongside this growing threat is a growing opportunity: the ability to harness artificial intelligence (AI) and data to drive more responsible business practices and environmental stewardship.

Learn “How Organizations Are Using NLP To Detect Greenwashing.”

Escalating Environmental Pressures

The warning signs are everywhere. By early 2025, Earth’s average surface temperature reached 13.0°C (55.4°F)—pushing us closer to climate tipping points. The first three months of this year were among the hottest on record, with unprecedented temperature anomalies in both the Arctic and Antarctic regions.

Global greenhouse gas emissions reached 37.8 billion metric tons in 2024, driven largely by fossil fuel use, agriculture, and industrial output. Meanwhile, biodiversity is in sharp decline, with over 46,000 species threatened with extinction due to climate-related stressors like habitat loss, pollution, and extreme weather.

Plastic waste continues to acidify oceans, while urban sprawl and overconsumption accelerate deforestation. From fast fashion to factory farming, human activity is pushing planetary boundaries—and the consequences are becoming harder to ignore.

The Human Toll: Environmental Anxiety on the Rise

This crisis isn’t just environmental—it’s deeply personal. Younger generations are increasingly affected by eco-anxiety, a psychological response to fears of environmental collapse. Studies warn that by 2050, billions could face water scarcity, food system disruption, and mass migration from climate-affected regions. Overheated ecosystems, wildfires, and resource scarcity are not abstract threats—they’re the lived reality of millions.

The Role of AI and ESG in the Fight for a Livable Planet

Fortunately, powerful tools are emerging. Artificial intelligence is transforming how we track and respond to environmental, social, and governance (ESG) risks. Natural language processing (NLP) can detect greenwashing, monitor corporate behavior, and surface early warning signals of environmental harm. AI is also helping companies reduce emissions, optimize energy use, and act on regulatory and reputational risks in real time.

Learn “How Successful Investors Are Using AI to Get ESG Data: A Quick Guide.”

By integrating ESG strategy with AI-powered insights, businesses are no longer passive observers but active players in shaping a sustainable future.

Hope for Change

Despite the scale of the crisis, momentum is building. From robotic wildlife conservation to AI-enabled recycling innovations, new technologies offer hope. Companies are aligning with the UN Sustainable Development Goals (SDGs), and governments are responding with new ESG regulations and global climate pledges. But regulation and innovation are not enough—collective action is still key.

Conclusion

There’s no better time than Earth Day to commit to change. Whether it’s supporting environmental nonprofits, reducing your consumption, investing in sustainable products, or advocating for better policies, every action counts. Our window to act is narrowing, but it’s still open.

Happy Earth Day!