Inrate Enhances ESG Ratings Through Strategic Data Partnership with SESAMm
May 5, 2025
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5 mins read
Inrate’s Controversies assessment and ESG Ratings will now be enhanced by SESAMm’s extensive AI-driven controversy data, deepening visibility into real-time corporate risks.
Zurich & Paris — 5th May 2025 — Inrate, the leading ESG data and ratings specialist that pioneered impact ratings built on science-based sustainability analysis, and SESAMm, a global leader in AI-powered ESG and reputational risk data, have announced a new partnership. This collaboration will enrich Inrate’s ESG Ratings with SESAMm’s real-time controversy insights, which cover millions of companies across over 4 million global sources.
Through this partnership, Inrate will integrate SESAMm’s large-scale controversy event data into its controversies analysis, ESG assessments, and ratings. This enhances Inrate’s insights into ESG controversies and strengthens its rigorous approach to evaluating corporate sustainability performance. All of Inrate’s research and ratings extend beyond reported data, incorporating the sustainability impact of business activities and ESG controversies for a holistic picture of a company’s sustainability performance.
“Our ESG Ratings are built on a robust foundation—assessing companies based on the impact of their activities, not just on what they choose to disclose,” said Saurabh Srivastava, Head of Sustainability Data and Ratings at Inrate. “By integrating SESAMm’s extensive data set, we further enhance our ability to uncover relevant ESG events quickly and with greater global coverage, capturing a more complete and objective view.”
“Inrate’s ESG Ratings offer a powerful lens on real ESG impact. By adding SESAMm’s expansive, multilingual controversy data, users gain faster and broader visibility into the ESG events that matter,” said Sylvain Forté, CEO & Co-founder of SESAMm. “We’re proud to partner with a company that shares our values of providing unbiased, transparent data.”
About Inrate
Inrate, a Sustainability Data & ESG Ratings firm, helps financial institutions view sustainable finance through an impact lens. We offer high-quality, granular analyses across a broad range of datasets used by investment teams from due diligence, portfolio analysis, and reporting, to exit.
About SESAMm
SESAMm is a global leader in ESG controversy data, using advanced Generative AI. We automate monitoring and due diligence on public and private assets, providing coverage of more than 5 million companies. We work with Carlyle, Warburg, Natixis, RBI, Fitch, Oddo, and many more. 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.
Tokio Marine & Nichido Fire Insurance Co., Ltd. (TMNF) tapped SESAMm for a joint research venture to predict future stock price movements. SESAMm provided various NLP indicators, such as digital sentiment calculated for single stocks or indices (seen as an entity), as well as its experience in machine learning to work on this task.
These studies concluded with two key findings:
Relationships exist between NLP data from news and social networking sites and investor behavior under specific circumstances. Researchers and investors can use the “digital sentiment” as an indicator of investor sentiment to anticipate price changes. They can then use this anticipation for a specific company or, more generally, any entity that can be isolated in a text (like an index).
By focusing on more stressed situations, like the 2015 market sell-off, the U.S.-China trade war, the coronavirus pandemic, and the start of the Ukrainian crisis, we could show that digital sentiment is beneficial in times of significant stress in the market. Digital sentiment more accurately reflects the stress level in these complicated situations. It, therefore, helps to predict stock price movements more accurately in these stressed cases, providing a tail hedge. It’s not biased by an excess of confidence linked to the “central banks put” for instance.
Providing safety and security since 1879
Tokio Marine Insurance Company was first established in 1879. Over the years, it has added products and services, acquired other businesses, and merged with other companies to eventually become Tokio Marine & Nichido Fire Insurance Co., Ltd. Commonly called Tokio Marine Nichido today, the company is a property and casualty insurance subsidiary of Tokio Marine Holdings, the largest non-mutual private insurance group in Japan. Its products and services provide safety and security to its clients and partners, contributing to more fulfilling lifestyles and business development.
One of the company’s philosophies is to be a good corporate citizen and fulfill its social responsibilities, including protecting the global environment, promoting human rights, creating a responsible working environment, and contributing to society and individual local communities. Recently, the Emperor of Japan awarded Tokio Marine Holdings, Inc. the Medal with Dark Blue Ribbon for donating to the Japan Student Services Organization to support students who face financial difficulty during the
COVID-19 pandemic. Individuals, corporations, or organizations are awarded the Medal with Dark Blue Ribbon for their outstanding contributions to the public.
Transforming and accepting the challenge to grow
According to TMNF, “The business environment surrounding the insurance industry is changing at a faster pace than ever due to changes in demographics, advances in technologies, such as autonomous driving and AI, and longer-term trends, such as the intensification and frequent occurrence of natural disasters, as well as further progress in digitalization due to the COVID-19 pandemic.”
“The business environment surrounding the insurance industry is changing at a faster pace than ever…”
“While these changes in the business environment pose a threat, we consider them to be excellent opportunities for transformation and the creation of new value.” So they’ve adopted the concept, “Transformation (“X”) and Challenge to Growth 2023: Aiming to be the company most chosen for quality and its passion.” Ultimately, it strives to support customers and local communities in times of need while contributing to social responsibility. Five social issues that it will prioritize are:
Global climate change and the increase in natural disasters
The increased burden of long-term care and healthcare due to the aging of society and advances in medical technology
Technological innovation and its effects on the environment
Symbiotic society and responding to the novel coronavirus
Industrial infrastructure and how it supports economic growth and innovation
Leveraging a partner with the right technology
To secure and protect its clients’ assets while elevating social issues, Tokio Marine Nichido sought out an edge in the stock market. Under these circumstances, it was fortunate that TMNF discovered SESAMm in 2020 through the Plug and Play Japan program, a platform with an event that connects Japan to markets abroad. SESAMm had presented its NLP alternative data solution, TextReveal®, to which TMNF considered the platform for access to alternative data and sought collaboration with the SESAMm team for a research project.
“SESAMm has the technology to extract sentiment from news data with a neural network.” – Tokio Marine & Nichido Fire Insurance Co. Ltd representative
Extracting relations between NLP data and the financial market
In 2021, Tokio Marine Nichido Insurance began collaborating with SESAMm to develop an AI analytics model for alternative data. It models the effect of news and social networking data on investor behavior for stock and bond markets. In other words, it structures text information into knowledge usable by TMNF.
Monitor risks and topics
NLP data can improve the understanding of the market’s behavior by exhibiting the most important topics over time, with a direct indication of the importance of the topics through the text volume (Figure 1).
Figure 1: Automatic detection of the main topics in the U.S. market since 2015, thanks to topic modeling.
Researchers can also use it to focus on a specific topic or a certain period. For instance, a short analysis of the most frequent keywords in the press, which preceded the market fall during the COVID-19 pandemic, showed the significant predominance of pandemic-related terms (Figure 2).
Figure 2: Most frequent keywords in English S&P 500-related articles between 17 Jan. 2020 and 19 Feb. 2020.
Focusing on the equity market
NLP tools provide specific data, like sentiment, to get more detailed information at the company level and for many underlyings. Indicators for equity indices, for instance, can be calculated and provide a clean sentiment to monitor markets.
In many situations of stress over recent years, such sentiment proved to be an early indicator of the market’s future degradation. For example, there was a time lag of as long as a month between the time COVID-19 became the main news focus and the time it affected the U.S. stock market. By using SESAMm’s technology to analyze news data during this period, the team found that the U.S. digital sentiment had already deteriorated sharply before stock prices reacted (Figure 3).
Figure 3: In 2020, U.S. news sentiment falls ahead of the stock market in response to COVID-19 concerns.
This sentiment deterioration occurred because of the fear of the coronavirus’s spread’s effect on the global economy (see Figure 2). Even with an all-time high S&P 500, U.S. investors didn’t initially consider this risk. In comparison, HSI companies were closer to the coronavirus spread risk. So as a result, HSI investors reacted ahead of their U.S. counterparts. In other words, by using natural language data, it was possible to capture a risk overlooked by U.S. investors but related in the publicly available texts and take action ahead of the market deleveraging.
Generalizing the results to the credit market
Tokio Marine Nichido also expanded the scope of the research to U.S. high-yield bonds index trade. In the credit market, a high yield has a high beta, which makes its risk comparable to the equity market.
Research shows that, on a risk-adjusted basis, the NLP-data-built signal has a positive and consistent performance through the timeline compared to the U.S. HY T.R. index benchmark (Figure 4). Its performance has a low correlation with the index (Figure 5), so the sentiment is diversifying. It not only acts as a diversifier but delivers higher returns than the benchmark when the U.S. High Yield market sold off (Figure 6). As such, the NLP signal diversifies, hedges, and protects against adverse periods. It provides a mechanical pick-up in risk-adjusted return when running alongside traditional strategy.
Figure 4: An NLP-informed signal has positive and consistent performance. The volatility level is the same for both curves.
Figure 5: The NLP signal and market daily performances are de-correlated.
Figure 6: The NLP signal delivers higher performance during adverse periods.
The NLP signal outperforms the index in realistic backtest conditions, including long allocation only, turnover constraints, and trading fees (Figure 7). The quantitative model integrates some macro indicators, but the previous NLP signal induces the main source of outperformance and risk mitigation.
Figure 7: An NLP-informed high-yield strategy outperforms the U.S. high-yield total return index.
TMNF is also applying the research to estimate the Fed’s stance—hawkish or dovish—using natural language data, too. It hypothesizes that the market will be focused on the Fed’s stance on interest rate hikes in the next few years.
“The model developed in collaboration with SESAMm is simple in structure, yet, it’s an orthodox and robust model that uses valid data as input.”
Summarizing the collaboration
In developing models, Tokio Marine Nichido believes it’s essential to consider “what data to consider” and to keep it simple. And TMNF achieved these tenets. The model developed in collaboration with SESAMm is simple in structure, yet, it’s an orthodox and robust model that uses valid data as input which is preferable to a risky over-fitting by increasing complexity.
Get in touch with SESAMm
To learn more about Tokio Marine Nichido’s case study or to request a TextReveal demo, reach out to us.
BNP Paribas has released its 2025 ESG Global Survey, revealing how institutional investors are adapting their sustainability strategies in the face of shifting market dynamics, rising regulatory scrutiny, and increased public skepticism. The report surveyed 420 asset owners, asset managers, and private capital firms across 29 countries, representing a combined $33.8 trillion in assets under management, and paints a complex but ultimately optimistic picture of ESG’s evolution.
Resilient Commitment Amid a Changing Landscape
Despite growing political backlash and accusations of greenwashing in various markets, investor commitment to ESG remains strong. A large majority, 87%, said their ESG or sustainability objectives have remained stable, and fewer than 3% expect to scale back their commitments. Furthermore, 84% anticipate that their organizations will continue to progress on sustainability goals through 2030.
However, this confidence is paired with a new sense of caution. Forty-one percent of respondents reported a more restrained approach to publicly promoting their ESG activities. This shift reflects broader concerns about reputational risk and regulatory ambiguity, particularly in markets where ESG has become politicized. Still, the underlying momentum toward long-term ESG integration appears undeterred.
From Broad ESG to Thematic and Impact Strategies
The report also signals a shift from general ESG investing toward more targeted strategies, especially thematic investing. Eighty-five percent of participants now apply sustainability criteria to investment decisions, and 59% actively pursue thematic strategies such as climate resilience or social equity. Top investment priorities over the next two years include increasing allocations to the energy transition, divesting from carbon-intensive assets, and using active ownership to push portfolio companies toward improved ESG outcomes. This thematic focus suggests a maturation of ESG strategies, with more precise goals and performance expectations.
Emergence of ESG “Pacesetters”
A standout insight from the survey is the rise of “pacesetters,” the 19% of respondents that have achieved the highest levels of ESG integration. These advanced investors have already embedded ESG factors across portfolios, including metrics related to social impact, biodiversity, and “The Just Transition Mechanism”. Nearly all pacesetters are actively decarbonizing their portfolios and report alignment with broader societal and environmental goals.
This group is not only more sophisticated in managing ESG risk but also more likely to view ESG as a long-term value driver. Their practices highlight what comprehensive ESG adoption can look like when paired with sufficient resources, internal alignment, and robust data.
Private Capital’s Expanding ESG Role
Private capital managers are also emerging as key ESG players. More than half are using active ownership strategies, while 76% emphasize social impact, and 63% are engaged in just transition initiatives. These firms see ESG as an opportunity to generate alpha, align with stakeholder expectations, and lead in sustainability-driven innovation.
The Critical Role of Data and Partnerships
Finally, the survey underscores the growing importance of ESG data and trusted partners. Nearly half of all respondents expect to increase budgets for ESG data acquisition and analysis. When selecting financial partners, ESG reputation and expertise are increasingly decisive factors.
Overall, the 2025 survey shows that institutional investors remain deeply committed to ESG, but are evolving in how they execute and communicate these strategies. The future of ESG appears less about bold declarations and more about targeted, data-driven action.
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.
SESAMm, a leading provider of AI-powered ESG and reputational risk insights, is pleased to announce that Paine Schwartz Partners, the largest private equity firm dedicated to sustainable food chain investing, has selected SESAMm’s platform to enhance its ESG due diligence and portfolio monitoring processes.
Paine Schwartz Partners manages over $6 billion in assets and invests globally across the food and agribusiness value chain, pursuing predominantly buyout investments, with a smaller allocation to growth companies. With a strong, long-standing commitment to sustainable investing in the food chain, Paine Schwartz integrates environmental, social, and governance (ESG) considerations at every stage of its investment process, from initial screening to active portfolio management.
As part of its investment process, Paine Schwartz Partners will leverage SESAMm’s platform to enhance its ESG risk screening, due diligence, and supplier and portfolio monitoring.
SESAMm’s platform provides real-time visibility into ESG and reputational risks across millions of public and private companies worldwide. The platform leverages multilingual large language models to analyze content from over 4 million sources in 100+ languages, enabling rapid first-gate screening, continuous monitoring of portfolio companies and their supply chains, and early detection of potential red flags, all while providing fully auditable data.
Among the platform’s capabilities, Paine Schwartz Partners will make use of SESAMm’s AI Reports, a suite of AI-generated reports covering ESG Assessment, Legal, and Governance Screening, available directly within the platform. These reports make it possible to rapidly screen companies for ESG and reputational risks even where direct access to company data is limited, for example, when evaluating whether to pursue a smaller or minority investment, or before launching a full due diligence process. The reports will also help the firm efficiently screen key suppliers across its portfolio, a particularly valuable capability given the firm’s focus on the food and agribusiness value chain.
About Paine Schwartz Partners
Paine Schwartz Partners is the largest private equity firm dedicated to sustainable food chain investing, with ~$6.5 billion of AUM and over 20 years of experience. The firm invests across specific segments of the food and agribusiness value chain, with a focus on two core investment themes: productivity and sustainability and health and wellness. Through its proactive, thesis-driven approach, the firm targets value-added and differentiated companies and makes primarily control buyout investments, with a smaller allocation to growth companies. Learn more at www.paineschwartz.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 sesamm.com
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