The world of private equity has been fertile ground for the adoption of alternative data, including AI-driven insights from firms like SESAMm, an expert in Natural Language Processing (NLP).

Could SESAMm’s technology provide Carlyle with the tools to identify a better class of investment opportunity?

When SESAMm’s CEO Sylvain Forté met the man in charge of data at The Carlyle Group, at an industry conference, the opportunity arose to put SESAMm’s data to the test.

“I remember the first day I met Sylvain and he said, I can tell you if your company is trending positively or negatively on the internet,” recounts Matt Anderson, Chief Data Officer of Carlyle, at a recent PE Insights webinar, in which EQT and Apollo were also speaking. Sensing potential in the data, he decided to give it a go.

SESAMm’s NLP platform generates quantitative and qualitative analytics on a wide array of entities – from public and private companies, to brands, products and individuals, by running cutting edge algorithms across billions of web-based articles.

Their data lake is not limited to news stories from the New York Times or Wall Street Journal, but spans a whole variety of global sources – social media, blog posts, professional forums, customer reviews and more, in over 100 languages.

Using this ability to interpret unstructured text from a huge slice of the internet, SESAMm’s team created insights designed to help Matt’s deal teams evaluate target companies.

The challenge was getting investment professionals to buy into the value of alternative data for private companies, so SESAMm condensed everything into easily-digestible reports. They included time-series and charts measuring companies on a variety of key metrics versus their peers, including ESG risk, e-reputation, competitive positioning, sentiment, positive and negative themes and other critical KPIs.

By regularly presenting SESAMm’s analytics reports to investment committees, Sylvain and Matt hoped to gradually convince deal teams that alternative data could have a positive impact on the investment process.

“It was about sharing the data in the form of slides directly with deal teams in a way that was automated on our side but easily consumable as part of the pre-deal decision process”, said Forté.

“We saw the need to convince people and show, time after time, that it really works, that this data is really valuable and can give an edge”, added Forté.

“In some instances it helped us to not make investments or avoid allocating resources to things that were marginal or moving in the wrong direction, and that was really valuable”, said Anderson.

To further prove the value of the data, Matt asked Sylvain to create analytics reports on a selection of Carlyle’s historical target companies. The idea was to see if SESAMm’s scores and analytics were predictive of the deal outcome, whether positive or negative.

“If we put a number on how positive SESAMm feels about some of these deals between one and ten, with one being, ‘avoid at all costs’ , and ten, ‘go for it’, what would it have told us?”, said Anderson.

After running the back test, the results showed a clear correlation between SESAMm’s analysis, and the deals that performed well and those that fell through.

“Looking at the results, I think that people would have really paused an investment committee around some of the conclusions”, commented Anderson.

“Having a view of the themes being surfaced, the plateaus in certain trends, and the sentiment charts heading in a negative direction was eye-opening for our leaders and deal teams – because they had to actually live through those deals. So seeing that kind of data, and what it can help you avoid was really insightful.” Says Anderson.

Ultimately, the integration of SESAMm’s analytics reports into Carlyle’s investment process was so successful that they were rolled out across all global investment teams. The two companies have developed a strong partnership based on the proven value of alternative data in the private equity investment process.

To find out how SESAMm can support your investment decision-making, to request a demo or for any other questions regarding our data do not hesitate to contact info@sesamm.com.

SESAMm, the leading provider of controversy data, is pleased to announce that ENGIE has chosen SESAMm to strengthen its ESG risks monitoring of subsidiaries, including positive impact news.

SESAMm delivers real-time controversy data on millions of private and public companies, leveraging multilingual large language models to analyze content from more than 4 million sources in 100+ languages. This enables SESAMm to surface potential red flags such as human rights violations, corruption, and environmental breaches, even in hard-to-assess, non-listed firms, while also highlighting positive impact events.

With SESAMm’s AI-powered platform, ENGIE will supplement its ESG analysis tools for its global operations. This includes early detection of controversies, benchmarking against industry peers, and surfacing positive achievements that reinforce ENGIE’s role in the energy transition.

“We’re proud to support ENGIE in monitoring both risks and opportunities,” said Sylvain Forté, CEO and co-founder of SESAMm. “Our AI-driven insights will help their teams anticipate challenges, benchmark effectively, and showcase progress in building a more sustainable future.”

About ENGIE

ENGIE is a major player in the energy transition, whose purpose is to accelerate the transition towards a carbon-neutral economy. With 98,000 employees in 30 countries, the Group covers the entire energy value chain, from production to infrastructure and sales. ENGIE combines complementary activities: renewable electricity and green gas production, flexibility assets (notably batteries), gas and electricity transmission and distribution networks, local energy infrastructures (heating and cooling networks), and the supply of energy to individuals, local authorities, and businesses. Every year, ENGIE invests more than €10 billion to drive forward the energy transition and achieve its net-zero carbon goal by 2045.  Learn more at www.engie.com.

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.

Corporate responsibility and sustainability are not just buzzwords anymore but integral aspects of business strategy. The importance of Environmental, Social, and Governance (ESG) compliance cannot be overstated. With the introduction of stringent and complex regulations like the CS3D, corporations face an unprecedented challenge in aligning their operations with these evolving standards. This is where Artificial Intelligence (AI) steps in, offering not just a solution but a transformative approach to staying ahead in the ESG compliance game.

The New ESG Compliance Challenge: CS3D Regulation and Beyond

The CS3D regulation marks a pivotal change in the corporate world, demanding greater diligence and transparency in sustainability practices. This regulation encompasses a broad spectrum of ESG aspects, from environmental impact to social responsibility and governance standards. It necessitates a comprehensive approach to due diligence, extending beyond the corporation to its entire supply chain. This means every partner, supplier, and stakeholder must align with these stringent standards, complicating compliance efforts.

However, CS3D is just the tip of the iceberg. Other regulations like the EU Green Taxonomy and the German Supply Chain Law further add layers to this complex regulatory tapestry. Each of these regulations brings its own set of challenges and nuances, making it increasingly difficult for corporations to keep pace using traditional compliance methods.

Understanding CS3D in Depth

Delving deeper into the CS3D regulation, it's clear that its impact is far-reaching. Corporations are now required to ensure their practices are sustainable and ethical and verify that their suppliers and partners adhere to similar standards. This means conducting thorough audits, maintaining a high level of transparency, and being accountable for the entire supply chain's ESG impact. The regulation also demands regular reporting and public disclosure of these practices, adding another layer of complexity to compliance.

Broader ESG Regulatory Landscape

While focusing on CS3D, it's essential to understand its place within the broader ESG regulatory landscape. Regulations like the EU Green Taxonomy, which classifies sustainable activities and investments, and the German Supply Chain Law, which focuses on human rights and environmental standards in supply chains, complement CS3D's objectives. Together, they create a comprehensive framework that guides corporations toward more ethical, sustainable, and socially responsible business practices.

AI: A Game-Changer in ESG Compliance

The advent of AI technologies has opened new avenues for corporations to manage their ESG compliance needs effectively. AI's capability to process vast amounts of data, identify patterns, and predict outcomes is invaluable in navigating the complexities of ESG regulations.

Real-Time Controversy and Reputational Risk Monitoring

One of the most significant advantages of AI in ESG compliance is its ability to monitor and analyze textual data in real-time. This is crucial in the context of regulations like CS3D, where ongoing vigilance is necessary. AI algorithms can sift through vast amounts of text data from various sources – news, reports, social media, etc., to identify potential controversies and non-compliance issues. This proactive approach enables corporations to address issues before they escalate, ensuring continuous alignment with regulatory standards.

Enhanced Supply Chain Management

Another critical area where AI makes a significant impact is in supply chain management. Under regulations like CS3D, corporations must ensure that their entire supply chain complies with ESG standards. AI-driven tools can analyze supplier data, audit reports, and other relevant information to provide a comprehensive view of the supply chain's compliance status. This helps identify potential risks, assess supplier performance, and make informed decisions about partnerships and procurement strategies.

Case Studies and Success Stories

Illustrating the power of AI in ESG compliance, several corporations have successfully leveraged these technologies to meet regulatory requirements. For instance, a leading multinational company used AI-driven analytics to monitor its global supply chain, ensuring compliance with CS3D and other ESG regulations. The AI system provided real-time insights into supplier practices, flagged potential risks, and enabled the company to take proactive measures to maintain compliance.

SESAMm: Pioneering AI-Driven ESG Compliance

At SESAMm, we specialize in providing AI-powered solutions tailored to the unique challenges of ESG compliance. Our flagship product, TextReveal, is a testament to our commitment to innovation in this field.

SESAMm utilizes advanced natural language processing and machine learning algorithms to analyze unstructured data from multiple sources. It provides actionable insights that help corporations monitor ESG risks, understand regulatory changes, and maintain compliance. By leveraging TextReveal, corporations can:

• Continuously monitor global news, social media, and other data sources for ESG-related risks and opportunities.
• Conduct thorough sentiment analysis and trend forecasting to anticipate potential compliance issues.
• Gain a deeper understanding of the ESG landscape and the evolving regulatory requirements.

Partnering for Success

Our partnership with leading corporations and financial institutions exemplifies the effectiveness of our AI-driven approach. By collaborating with SESAMm, these organizations have enhanced their ESG compliance strategies, effectively navigated the regulatory landscape, and made more informed decisions.

Staying ahead of the curve in the rapidly evolving world of ESG compliance is not just about meeting regulatory requirements – it's about leading the way in corporate responsibility and sustainability. AI technologies, with their unparalleled capabilities in data analysis and predictive insights, are the key to this leadership.

As pioneers in AI-driven ESG compliance solutions, SESAMm is committed to helping corporations navigate these challenges. Our innovative tools and expertise are designed to empower you to meet and exceed regulatory standards confidently. We invite you to explore the potential of AI in transforming your ESG compliance strategy and join us in shaping a more sustainable, ethical, and compliant corporate future.

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.