VIDEO: QuantMinds Interviews Sylvain Forté at QuantMinds International 2022
August 25, 2022
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5 mins read
Barcelona, QuantMinds International, November 2022
CEO Sylvain Forté joins QuantMinds correspondent Joanna Simpson in an interview highlighting the use of AI in ESG Investing and how we use it to detect greenwashing practices.
Below is an approximation of this video’s audio content. Watch the video for a clearer understanding of the topics discussed during the interview.
Joanna: I'm Joanna Simpson here at QuantMinds International in Barcelona. Joining me now is Sylvain Forté, CEO of SESAMm. Thank you very much for being here.
Sylvain:Thank you.
Joanna: Tell me, how does it feel to be here at QuantMinds International?
Sylvain:It feels very good, actually. We've been to the conference a couple of times already, so it's not our first year, and this time we brought several people from our team. We're all here together, presenting our technology and discussing some of the novelties in the space. It's very exciting and personalized.
Joanna: Great. And what role does artificial intelligence have to play in the future of ESG and ESG investing, in particular?
Sylvain:ESG is a massive trend in the industry right now, not just in asset management and the quant space but also in private equity, in corporate space like tracking suppliers, clients, etc. And one of the key problematic themes that we see is data gaps. There's a lack of data in terms of coverage; small caps, mid caps, or even private firms are not well covered. The frequency of information tends to be lagging. There's a very low frequency, like quarterly updates or so. There's also a lack of transparency and the like.
So, I believe that AI is primarily a tool that can help build that information gap and, for example, cover millions of companies instead of just a few tens of thousands of companies manually. What we do at SESAMm is leverage a technology called natural language processing (NLP), where we screen text automatically to understand potential ESG controversies or positive impact events. This leads us to have a coverage of around 5 million companies, meaning every publicly listed company out there and private firms that no one else would cover otherwise. This enables many use cases.
There's also frequency; you can generate indicators every single day, more like a quantitative time series that people are used to, and this enables clients to get access to information even locally, like Raiffeisen, one of our clients, is tracking clients in Poland, in Austria, in Germany, or in Ukraine using NLP which would not be possible with traditional ESG metrics. I think that the key topic of AI is expanding the use, expanding the coverage in terms of ESG data, and making sure that data is systematic, follows a good process, and is transparent.
Joanna: What examples are there of ESG investing being enhanced by AI?
Sylvain:We see two primary use cases.
The first one is more quantitative, where people are looking to leverage ESG NLP data in their systematic trading process. It's either for alpha generation; for example, we work with LFIS, an asset manager in France that created a fund based on ESG NLP data. Their primary goal is to enhance their strategy to generate outperformance, which is really a good use case in that space. This is the quantitative use case where you can use higher frequency data like daily data to leverage ESG like any other kind of alternative dataset and derive superior returns.
Then we have more discretionary use cases where we see large asset managers or private equity shops which are looking to perform risk management tasks or help their team prioritize the scoring of assets. Say they have a team that does their own proprietary scoring on assets with regards to ESG, but how do I prioritize? I have 3000 assets to follow, I need some kind of alert on that whole universe to make sure that I focus on the assets that could be most controversial today. That's one of the things that we provide; daily alerts using natural language processing where people can say okay, there is a massive shift right now; as an ESG analyst, I'm going to make a decision to look at this asset specifically to help cover it and update the score.
Joanna:Can AI help with greenwashing in ESG investing, and if so, how?
Sylvain:Yes, it's one of the other kinds of problems that you have in ESG is the lack of transparency on the methodology creates some anomalies in some cases. And one of the big anomalies is that there's this averaging effect where a firm that has both positive actions and negative topics is going to be, on average, neutral, which is really problematic.
We had a big example like this in France recently with Orpea, a listed company of nursing homes exposed to a massive scandal with regards to mistreating patients—so more like social washing than greenwashing. And the problem is their scores were pretty high because, at the same time, they had some positive impact. They were implementing new diversity policies and the like, so it was averaging up.
At SESAMm, we leverage NLP to completely differentiate positive and negative topics. So if a firm is doing good stuff that is aligned with SFDR, and they have positive actions, etc., great! That's going to be one score. But if, at the same time, they have very negative topics, there are a lot of risks we're going to still detect that's not going to be averaged. It's going to be very specifically focused on.
Joanna: Sylvain Forté, thank you for your time.
Sylvain: Thank you very much.
To learn more about how SESAMm uses Text Reveal to find ESG data, contact a representative today.
The aerospace and defense industry is essential to global technology and transportation, playing a crucial role in maintaining international security and connectivity. However, this sector faces intense scrutiny due to its significant impact on ESG factors. Amidst challenges like safety lapses and whistleblower revelations, stakeholders are increasingly relying on advanced AI technologies to gain insights into potential controversies. Such technologies have enabled a deeper understanding of the complex ESG issues that permeate the industry, revealing not only the specific challenges faced by companies like Boeing but also providing a broader view of the sector's commitment to corporate responsibility and sustainability.
This article explores the aerospace industry and its ESG challenges, backed up by a case study of industry giant Boeing. It also explains how we used SESAMm’s AI-powered tools to detect these controversies beforehand.
Aerospace and Defense Market Mentions
The top market players in the aerospace and defense industry command 8.3% of the overall market's online mentions. This sector is increasingly scrutinized for its ESG practices amidst technological advancements and global policy shifts.
Media Sentiment in the Aerospace Industry
In this study, we ran our AI tools through our data lake to extract the major market players: Northrop Grumman, Lockheed Martin, General Dynamics, Airbus, and Boeing, with the time frame starting from 2015 to date. The data reveals a notable peak in online mentions of the market trend, mainly following Boeing’s plane crash controversies. Post-2018, we noticed a general upward trend for Airbus and Boeing, indicating their increasing dominance or recovery in the market. This trend demonstrates the shifting landscape of the aerospace industry, where competition is intense, and the share of mentions can reflect broader market movements and company-specific developments.
(*): Polarity or sentiment polarity represents a company's aggregate of positive and negative sentiment (opinions, reviews), ranging from -1 to 1. A zero score means that there is as much positive as negative sentiment. High e-reputation brands can have polarity scores of more than 0.5.
The sentiment across the aerospace market reflects the industry’s highs and lows. On one hand, there are moments of significant achievements like new contracts and technological breakthroughs that drive companies like Lockheed Martin to positive media highlights. Between 2016 and 2018, Lockheed Martin experienced a surge in positive mentions due to key contract wins and proactive company initiatives, which have contributed to maintaining its reputation and market value.
Conversely, the industry faces intense scrutiny over various controversies, notably those surrounding Boeing. The company, a dominant figure in the market, has been at the center of numerous negative headlines, giving it the lowest sentiment polarity among its peers. Issues range from serious safety lapses, such as the tragic 737 MAX crashes throughout the years, to ongoing legal challenges and whistleblower claims that overshadow its governance practices. These incidents have not only affected Boeing’s sentiment negatively but have also influenced the overall perception of the aerospace and defense sector, highlighting the industry's susceptibility to reputational risks.
Macro Themes
The aerospace sector, while essential for global connectivity, has not been without its controversies, especially concerning safety and compliance issues. Among the major players, Boeing's significant share of media mentions is primarily driven by a series of high-profile accidents, including the 737 MAX crashes in 2019, killing all passengers and another serious incident in South China in 2022. These accidents triggered a cascade of lawsuits and fines, severely impacting Boeing’s public perception and operational standing. The aftermath of these incidents also precipitated broader discussions around leadership changes, management practices, safety protocols, and accountability measures within the company.
Similarly, Airbus has faced its own challenges, with notable accidents in 2015 in France and 2016 in the Mediterranean Sea, followed by another in 2020, resulting in 97 fatalities. These incidents underline the persistent safety risks inherent in aerospace operations and the critical need for stringent oversight. Accusations of ethical and legal violations also loom large across the industry. Boeing, for example, has been embroiled in numerous investigations and lawsuits related to various accusations. Meanwhile, other industry giants like Northrop Grumman and Lockheed Martin have faced legal actions over environmental and contracting practices, such as Northrop’s involvement in residential chemical contamination and Lockheed’s settlement over accusations of overcharging the Navy. General Dynamics has also encountered legal scrutiny over employment practices and allegations of human rights and privacy violations.
These controversies highlight a complex landscape of operational, legal, and ethical challenges in the aerospace industry. Each incident not only affects the involved company but also catalyzes shifts in regulatory practices and leadership strategies, underscoring the need for robust governance and proactive risk management to uphold safety and integrity in aerospace operations.
ESG Analysis
The influence of ESG factors on public perception and internal company policies within the aerospace industry is profound. Governance issues, in particular, continue to be a critical focus as aerospace companies confront challenges related to compliance, ethical practices, and transparency. Social factors are also prominent, with labor practices and safety standards critically influencing operational and strategic decision-making. Environmental considerations are escalating in importance as the industry progresses towards more sustainable practices, driven by increasing concerns over climate change and environmental sustainability.
Northrop Grumman illustrates an aspect of ESG concerns with specific environmental risks linked to its operations. Accusations have surfaced against Northrop Grumman for its role in environmental degradation, such as pollution from manufacturing plants and involvement in contamination incidents at residential sites. These issues not only affect the company’s environmental track record but also impact its social standing and governance integrity. The company also displays some governance risks related to its total mentions volume driven by accusations of fueling false ‘Revenge Porn’ allegations against CIA whistleblower John Kiriakou as well as legal investigations driven by Northrop Grumman investors over its claims to recover their losses and class action lawsuits over claims of a breach of fiduciary duty.
The aerospace sector’s engagement with these ESG factors indicates a shift towards addressing the critical issues facing the industry. Boeing ranks first in terms of risks, with social risks having the highest share, followed by Airbus, with risks coming from social issues such as customer relations, fundamental human rights, and governance risks mainly related to its fraud, bribery, and corruption charges. This shift is not just about mitigating risks but also about harnessing opportunities to enhance corporate responsibility and ensure long-term sustainability.
Deep Dive into Boeing: ESG Risks and Public Perception
The aerospace industry has faced increasing scrutiny over its ESG practices. Among the key players, the American aerospace company Boeing has been prominently featured in media discussions, not only due to its market distinction but also because of its ESG challenges that have sparked significant controversy.
Boeing Word Cloud
This word cloud visually represents the main online topics surrounding Boeing, particularly focusing on the issues and controversies related to the 737 Max aircraft. Key terms like "737 Max," "Boeing," "safety," "death," and "FAA" are prominently displayed, indicating these as central themes in the discussion. The size of each word in the cloud signifies its frequency and importance in related discussions, with larger words being more prevalent. This visualization encapsulates a range of associated topics such as "lawsuit," "Senate hearing," and "missed inspections," highlighting the broad spectrum of regulatory, safety, and ethical issues that have dominated public and media discourse regarding Boeing.
Boeing ESG Analysis
According to TextReveal’s findings, since 2019, Boeing's ESG risks have intensified, particularly in social and governance, leading to a substantial impact on its public image and stock performance. The company's struggles with governance issues are well-documented, encompassing major safety lapses that resulted in the tragic crashes of the 737 MAX aircraft in the span of six months in Indonesia and Ethiopia. These events have not only led to a loss of life but also raised serious questions about the company's commitment to safety protocols and ethical standards.
Social risks at Boeing are also prominent, with multiple incidents involving customer relations and human capital management. Notably, the company has faced significant scrutiny regarding its response to the 737 MAX crashes, highlighting deficiencies in transparency and accountability in dealing with the fallout. The handling of these incidents resulted in widespread public distrust, significantly damaging Boeing's relationships with airlines, regulatory bodies, and the flying public. Issues such as delays in disclosing software malfunctions and the initial reluctance to ground the fleet have led to accusations of prioritizing profit over passenger safety. Furthermore, Boeing's labor practices have also come under fire. There have been multiple instances of tension with labor unions over contract negotiations, job cuts, and factory conditions, which exacerbate the social risks by affecting employee morale and productivity. These labor disputes and the perceived erosion of safety standards contribute to a challenging environment, complicating Boeing's efforts to rebuild trust and ensure operational stability.
Early Signs: Whistleblowers
We used TextReveal's analytics capabilities to track the prevalence of whistleblower mentions within the aerospace industry, with data pointing back as far as 2019. This tool has effectively highlighted ongoing concerns and patterns related to corporate governance and safety issues.
Boeing has also been facing whistleblower retaliation. High-profile cases involving whistleblowers like John Barnett, who was found dead under mysterious circumstances, and Sam Salehpour, who reported safety shortcuts and received physical threats, illustrate the perilous environment for those who challenge the status quo. These whistleblowers' stories, while distressing, shed light on a culture that may prioritize expediency over thoroughness and safety.
One of the most significant cases involved John Barnett, a former quality manager at Boeing, who raised alarms about critical safety lapses in the production of the 787 Dreamliner. Barnett claimed that faulty parts were knowingly installed on planes, potentially endangering passengers. His revelations were met with hostility and retaliation, resulting in his tragic and suspicious death, which was officially ruled as a suicide. This case has fueled widespread media coverage and public outcry, questioning the integrity of Boeing’s internal safety practices and the treatment of employees who report such critical issues.
Another well-known whistleblower, Ed Pierson, reported concerns about the 737 MAX's manufacturing process, specifically pointing to the rushed production schedules that he believed compromised safety. His testimony before congressional hearings helped to expose a "profit over safety" mentality that appeared to saturate Boeing’s management practices. Pierson’s allegations were particularly damaging as they were directly linked to the two fatal crashes of the 737 MAX, which tragically resulted in 346 deaths.
Sam Salehpour, a Boeing engineer, also came forward with allegations of manufacturing shortcuts that compromised the structural integrity and safety of Boeing aircraft. Like others, Salehpour faced significant backlash from superiors and was reportedly blackballed within the industry for his outspokenness, highlighting the severe personal and professional risks faced by whistleblowers within the air travel giant.
The cumulative effect of these whistleblower cases has led to significant scrutiny from regulatory bodies, the media, and the public. The Federal Aviation Administration (FAA) has stepped up its oversight of Boeing, leading to fines, increased regulations, and a temporary grounding of the 737 MAX fleet. These incidents have sparked broader discussions about the need for systemic reforms within the aerospace industry to ensure that safety and ethical standards are not only upheld but prioritized over financial incentives.
How does SESAMm Detect ESG
Navigating the vast amounts of data available is a significant challenge when conducting this type of analysis. At SESAMm, our experts begin with a comprehensive sentiment analysis of the industry and its key players. By examining trends, particularly spikes in data volume or shifts in sentiment—both positive and negative—they can pinpoint the issues and controversies driving these changes. Following this, our team conducts a thematic deep dive into the topics most relevant to the industry, providing a nuanced understanding of the issues that are particularly sensitive for stakeholders. With these insights in hand, our team then moves to company-specific analyses and benchmarking to assess how individual companies perform relative to their peers.
SESAMm's TextReveal® platform plays a significant role in identifying and understanding the complex web of controversies within industries such as aerospace. Through its algorithms, the platform sifts through vast amounts of data from diverse sources like news outlets, social media, and corporate disclosures to detect subtle cues and patterns that might indicate emerging ESG controversies. This robust data collection and analysis enable SESAMm to pinpoint issues related to whistleblower activities, safety violations, and governance lapses well before they gain widespread attention. By integrating this intelligence, SESAMm facilitates a deeper understanding of the underlying factors contributing to these controversies, aiding stakeholders in navigating the intricate dynamics of corporate accountability and regulatory compliance.
SESAMm's TextReveal® platform provides a comprehensive suite of ESG analytics tools that leverage extensive data collection from news outlets, social media, corporate disclosures, and NGO reports, ensuring thorough coverage of emerging and underreported ESG issues. Utilizing advanced artificial intelligence, the platform analyzes sentiments and contextual nuances within this data to identify positive and negative ESG indicators, helps stakeholders measure public sentiment before issues escalate, and makes accurate business decisions. Additionally, its capability to identify and map relationships between entities such as companies, individuals, and products to various ESG issues is crucial for assessing how internal dynamics influence a company’s overall ESG profile.
TextReveal® also employs predictive analytics to foresee potentil ESG controversies, enabling proactive risk management and strategic planning. Moreover, it offers detailed ESG reporting and scoring, providing quantifiable insights into a company’s ESG performance, which is invaluable for investors and analysts. Lastly, the platform’s analysis of the influence of key individuals on ESG practices offers deeper insights into leadership effectiveness and ethical compliance, making SESAMm's tools essential for integrating ESG considerations into comprehensive corporate strategy and maintaining competitive advantage in a socially conscious market environment.
Conclusion
Navigating the complexities of ESG risk management requires a shift from traditional methods to more advanced, AI-driven approaches. AI's ability to analyze vast amounts of unstructured data enables early detection of hidden risks, as demonstrated in our case study on Boeing. Using AI, we identified emerging controversies around Boeing's safety practices, quality control, and governance issues before they escalated, showcasing the technology's potential for proactive risk management.
Incorporating AI into ESG assessments allows private equity firms and other stakeholders to move beyond reactive strategies. By detecting potential risks early, firms can safeguard their investments, protect their reputations, and align with a growing emphasis on responsible investing. Embracing AI-driven tools is not just about keeping pace with market demands—it's about ensuring a more secure, transparent, and sustainable approach to investment in an ESG-focused world.
Reach out to SESAMm
TextReveal’s web data analysis of over five million public and private companies is essential for keeping tabs on ESG investment risks. To learn more about how you can analyze web data or to request a demo, reach out to one of our representatives.
Alternative Data | Risk Management | Sentiment Analysis
Wednesday, September 14, 2022, a16z (Andreessen Horowitz), a large, well-known VC firm, funded Flow, a new startup led by a seemingly scandalous entrepreneur, Adam Neumann, the founder infamously known to have been ousted as WeWork CEO.
Why did a16z invest in Flow and, by proxy, Adam Neumann?
In his blog post about “Investing in Flow,” Andreessen acknowledges the U.S. housing crisis in the first sentence, and here’s what he has to say about Neumann: “Adam is a visionary leader who revolutionized the second largest asset class in the world—commercial real estate—by bringing community and brand to an industry in which neither existed before.” Andreessen continues, “[I]t’s often underappreciated that only one person has fundamentally redesigned the office experience and led a paradigm-changing global company in the process.”
So that gives us a clue as to what Andreessen thinks. But what does the public web have to say, and what is its overall sentiment?
In this edition of Alternative Data Trends, we dig into public web data before, during, and after a16z announced that it would fund Flow. Does the public web agree with Andreesen’s view? If not, how does it differ? And how can this information inform an investor and other VC firms?
Let’s find out.
a16z web mention volume and polarity (Nov. 2015 to Jun. 2022)
Figure 1: Andreessen Horowitz mention volume and polarity chart.
Mention volumes spike in mid-June 2021
TextReveal® uncovered 181,620 articles and messages from SESAMm’s data lake about Andreessen Horowitz (Figure 1). Mention volume remains consistent until late 2020, at which time a16z invests in a bunch of new companies and startups, such as:
Beacons
Clubhouse
Dapper Labs
Eco
Helium
Labster
Maven
Nansen
OpenSea
Skydio
SpotOn
Tackle.io
Valon
Zus Health
a16z also focused on the NFT market and, as a result, launched the world’s biggest crypto-fund valued at $2.2 Billion in June 2021. Moreover, Andreessen Horowitz launched its own media property, Future.com, in mid-2021.
Andreessen Horowitz web mentions further spike after it doubles down, announcing $4.5B crypto fund IV in May 2022. Additional news increased mention volume because of its investment in Neumann’s new startups, Flowcarbon and Flow.
Polarity (positive and negative sentiment) dips
Sentiment toward a16z remained relatively stable over time with only minor dips until mid-2021, when it began falling, a trend driven by mentions of Flow investments news, the Uniswap related lawsuit, and suspected CoinSwitch Forex law violations (Figure 2).
Figure 2: Uniswap and CoinSwitch events affected a16z’s polarity as early as July 2022. As it rebounded, Flow began influencing polarity negatively by mid-August.
Why was Flow affecting a16z’s polarity so much?
Figure 3: Newsclips about a16z investing in Flow.
Despite Andreessen’s reasons for giving Flow and Neumann a chance, the public’s opinion seems to disagree, leaning toward a negative sentiment (Figure 3). Overall, the public doesn’t seem to trust that Neumann is worth a second chance and that his choices are beyond forgiving. Moreover, the public criticizes a16z’s choice to overlook women and people of color. This The Guardian article highlights tweets of these differences in opinion:
In summary, TextReveal’s web data analysis tells us that it’s essential to keep an eye on the latent ESG risks this investment could bring to a16z’s portfolio, particularly on the social side.
Andreessen Horowitz, from an ESG perspective
a16z ESG initiatives
Figure 4: a16z’s governance initiatives exceed environmental and social.
From a mention volume perspective, a16z’s ESG initiative numbers remain stable (Figure 4). Andreessen Horowitz has a good share of ESG initiatives shares with the highest percentage for governance driven by partnerships and collaborations, followed by the environmental aspect that has been increasing over the last two years.
ESG risks, from a portfolio perspective
Figure 5: a16z’s aggregated portfolio’s ESG risks over time.
Figure 6: a16z’s portfolio’s social risk spikes in January 2020.
Figures 5 and 6 cover 160 companies in Andreessen Horowitz’s portfolio in the venture and growth stage. Overall, a16z’s portfolio represents a lower ESG risk (<15%) over time, except for the occasional moderately higher ESG risks score (<35%) indicated by two prominent spikes, one at the end of 2016 (Q4) and the second at the beginning of the year 2020 during the pandemic (Q1). The first spike is mainly a governance risk related to Soylent’s products being recalled and supply-chain-shortage risks. The spike is also caused by another top executive resigning from Magic Leap. In contrast, the second spike is a social risk driven by Instacart’s employees’ strike upon working conditions and safety concerns during the Covid-19 pandemic.
Note: Very low risk is <5%, low risk is <15%, moderate risk is <=35%, high risk is <=50%, and very high risk is >50%. Also, note that this scale is for demonstration only and does not indicate actual risk values.
Figure 7: A deeper look into the top companies in a16z’s portfolio generating mention volumes shows Instacart and MakerDAO in the moderate risk range. In contrast, the others are low to very low in risk in comparison.
Does the public’s view of a16z’s investment of Flow have merit?
Maybe, maybe not.
Looking at Andreessen Horowitz’s company and portfolio through the lens of web data, it is, if anything, consistent with its ESG initiatives and has experienced very few controversies. Should investors ignore the potential red flags that come with Flow and Adam Neumann? Of course not. But they should feel assured that a16z has exhibited a pattern of making sound investments. For example, if we compare the firm’s SDG initiatives to those in its portfolio (Figure 8), they are almost identical.
Figure 8: Andreessen Horowitz portfolio companies are focusing on the Sustainable Development Goals with specific attention toward goal 9: Industry, Innovation, and Infrastructure and Goal 17: Partnerships for the Goals, followed by Goal 4: Quality Education and Goal 15: Life On Land.
It’s possible that maybe Marc Andreessen and a16z et al. see something in Flow that the general public does not. After all, it’s why they’re a successful venture capital firm that consistently “backs bold entrepreneurs building the future through technology,” controversies and all.
Screening a portfolio for controversial business involvement is fundamentally different in public markets than in private markets. Public assets benefit from established disclosure requirements, third-party coverage, and standardized data, while private assets operate in a far more opaque environment. For ESG teams at LPs and GPs, these differences become especially acute in secondaries transactions, where investors inherit portfolios they did not originate and must assess risk under tight timeframes.
As regulatory frameworks such as SFDR extend similar expectations to private market funds, the gap between public and private screening becomes harder to ignore. Investors are increasingly expected to apply consistent exclusion policies and demonstrate rigorous screening across asset classes, even when data availability, transparency, and control differ materially.
This article examines the practical challenges of screening secondaries portfolios across public and private markets. It highlights where traditional approaches fall short, explores the structural constraints faced by LPs and GPs, and illustrates how hidden exposure can persist in private assets through the case of Crown Resorts and its governance and gambling-related controversies.
Data Availability and Transparency
Public companies typically provide more data through annual reports, revenue disclosures, and ESG rating coverage. For example, a company like Philip Morris International openly reports that almost 100% of its revenue comes from tobacco, making exclusion straightforward. That said, public market screening still relies heavily on self-reported information, which has its own limitations.
Private companies, by contrast, often disclose little to nothing about their business mix. A mid-market private firm may provide no public indication of its activities at all. As a result, GPs have traditionally relied on questionnaires, web searches, and due diligence calls to identify “sin” activities, a manual and imperfect process. Because private companies have no obligation to report controversial involvement, issues may surface only after investment. This opacity places pressure on GPs to demonstrate robust screening, particularly for SFDR Article 8 and 9 funds expected to apply comparable rigor to private assets without comparable data.
Coverage by Third-Party ESG Providers
Public markets benefit from broad coverage by ESG data and controversy research providers that maintain structured involvement lists across sectors such as weapons or gambling. Private markets face a clear coverage gap. LPs cannot assume that external ratings or datasets will flag problematic private companies.
This gap is particularly material for activities more prevalent in private markets, such as predatory lending or adult content platforms, which are rarely publicly listed. Traditional ESG datasets may miss these exposures entirely. Without alternative data sources, an Article 8 private debt fund could unknowingly finance a highly controversial company simply because it does not appear on any public exclusion list.
LP/GP Constraints and Mandates
Many LPs maintain their own exclusion policies and expect GPs to apply them consistently. In public markets, asset owners can screen holdings directly. Whereas, in private markets, LPs must rely on GPs to implement exclusions during sourcing and due diligence.
This reliance creates friction. A financially attractive deal may still be incompatible with LP mandates, forcing GPs to walk away. Under SFDR, GPs marketing Article 8 or 9 funds must demonstrate that portfolio companies align with promoted ESG characteristics, including exclusions for sectors such as weapons or tobacco. LP due diligence questionnaires increasingly reflect this scrutiny.
Secondaries investors face additional pressure. They must assess large portfolios they did not originate, often under tight timelines. Hidden exposure, such as sanctioned entities or controversial manufacturers, can pose a significant risk, driving increased use of accelerated ESG screening tools prior to acquisition.
Dynamic vs. Static Nature of Private Investments
Public market portfolios can be adjusted quickly if a controversy emerges. In private markets, investors are typically locked in for years, making pre-investment screening far more critical. A failure to identify controversial involvement can leave GPs choosing between remediation efforts and reputational damage.
Private companies also evolve with limited visibility. A business may pivot into controversial activities without public disclosure, and such shifts may only be detectable through external reporting rather than formal announcements. This reinforces the need for both rigorous upfront screening and ongoing monitoring throughout the holding period.
Case Study: Crown Resorts - Gambling and Governance Failures
Company Overview
Crown Resorts is Australia’s largest casino operator, running flagship properties in Melbourne, Perth, and Sydney. Its business model centers entirely on gambling & betting, making it a textbook case of significant involvement - essentially 100% exposure to an exclusion category that many funds ban or cap at ≤5–10% of revenue. Following a string of governance scandals, Crown was acquired by Blackstone in 2022 and delisted, offering a strong private-market example of why business involvement screening must extend beyond public companies.
Controversies SESAMm’s AI screening captures a sequence of serious ESG and regulatory failures:
International illegality: 2016 arrests of 18 employees in China for promoting gambling in violation of Chinese law.
Money laundering & crime links: laundering through casino accounts and continued partnerships with junket operators later tied to organized crime.
Regulatory sanctions: inquiries in New South Wales, Victoria, and Western Australia declared Crown “unsuitable” to hold licenses; regulators imposed monitoring and fines totaling A$200 million+.
Predatory behavior: evidence of loan-sharking within casino premises, and failure to protect patrons from exploitation.
Screening Outcome
Crown is classified as significant involvement in Gambling & Betting, with additional flags under Sanctions & Exclusions. It also shows limited exposure to predatory Lending and minor environmental issues.
Screening Takeaway
Crown demonstrates how a company’s core business model (gambling) can intersect with multi-dimensional ESG risks (AML, governance, and social harm). In private markets, where disclosures are minimal, AI-driven screening enables investors to detect red flags early, determine whether engagement or exclusion is appropriate, and avoid inheriting reputational or regulatory liabilities.
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.
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