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Inside the Controversy Exposure Score: How SESAMm Turns Controversies into a 0 to 100 Rating

July 15, 2026
5 mins read

A single number is a powerful thing. It can summarise months of reporting across dozens of sources into something a risk team can act on in seconds. It can also hide more than it reveals, if no one explains how it was built. When the same company receives very different ESG scores from different providers, the usual reason is not bad data. It is undisclosed method.

SESAMm has published the full methodology behind its Controversy Exposure Score, free to access, following the entry into force of the EU ESG Rating Regulation on 2 July 2026. This article walks through what the score measures, how it is constructed, and the two design choices that most distinguish it.

What the Score Measures

The Controversy Exposure Score, or CES, runs on an absolute scale from 0 to 100 and is grouped into five risk bands, from Very Low to Very High. It has a single, deliberately narrow objective: to measure an entity's exposure to ESG controversies, meaning adverse events and conduct attributed to that entity as reported in public sources.

Three points define its scope from the outset. The CES is an impact-materiality measure. It looks at the negative footprint of an entity's activities on people and the environment, not the financial effect of ESG issues on the company itself. It is backward-looking. It reflects controversies that have already been reported, over a rolling 24-month window, rather than forecasts or transition pathways. And it is built only from public and licensed public-domain information, never from private, confidential or self-reported data.

From Millions of Articles to a Single Case

Before any score can exist, raw coverage has to become structured information. This is where most of the engineering sits.

SESAMm's pipeline first attributes each document to the right entity and screens it for genuine ESG relevance against a multilingual taxonomy, removing low-quality, duplicate or non-editorial content. It then addresses a problem familiar to anyone who monitors the news: media echo. A single real-world incident can generate dozens of near-identical articles. To prevent that from inflating the picture, related documents are grouped into Events, and related Events into Cases, so that a controversy unfolding over time is tracked as one continuous case rather than many separate items.

A validation step then confirms that each candidate event is a genuine ESG controversy concerning the entity, acting as a control against false positives before anything enters the score. Only after this sequence does scoring begin.

Design Choice One: Severity Before Volume

The most important question about any controversy is not how many articles it generated. It is how serious it is. SESAMm assesses severity first, through a feature called Event Intensity, scored on a 1 to 5 scale.

Severity is judged on two axes. The first is reversibility, the permanence of the harm, from a procedural or technical breach at the low end to irreversible damage such as fatalities or permanent ecosystem destruction at the high end. The second is reach, the scale of the impact, from an effect confined to a single facility up to systemic or national-level harm.

Two principles govern how these combine, drawn from the UN Guiding Principles approach to identifying severe impacts. Permanence takes priority over breadth, so an irreversible harm weighs more than a widespread but remediable one. And grave, irreversible events are designed not to slip into low-severity tiers simply because their reach was limited, so that isolated but serious events stay visible. The structured severity is then adjusted for the entity's actual responsibility, from direct involvement through its own operations to indirect involvement through its value chain.

Media coverage does play a role, but a disciplined one. The level of coverage contributes to the score as a signal of salience, and it is rebased against each entity's own historical media baseline rather than counted in absolute terms. This stops high-profile companies from looking riskier simply because they attract more press, and it keeps the engine sensitive to genuine spikes at less-covered entities.

Design Choice Two: Worst-Of, Not Average

The second defining choice is how the pillars combine. Most ESG scores apply percentage weights to Environmental, Social and Governance factors and blend them into a weighted average. SESAMm deliberately does not.

The reason is a structural flaw the company calls dilution bias, or data masking. When pillars are averaged, strong administrative compliance in one area can mathematically conceal a catastrophic breach in another. A company with excellent governance disclosures could see a severe environmental controversy diluted into a comfortable middle score.

Instead, the CES uses a rule-based maximum-severity, or worst-of, logic. The entity's most serious controversy drives the score, regardless of which pillar it sits in, and it cannot be watered down by stable metrics or an absence of alerts elsewhere. The five bands that result are fixed in absolute terms rather than calculated relative to a peer group, so a company's score is not flattered or punished by the behaviour of its sector. A score above 80 reflects critical, often irreversible breaches. A score of 20 or below reflects negligible or minor isolated issues.

A Number You Can Interrogate

Taken together, these choices produce a score with a clear logic behind every point on the scale. Severity is assessed before volume. The gravest event leads. Coverage is normalised so it informs rather than distorts. And the bands mean the same thing for every entity, in every sector, anywhere in the world.

None of this requires a user to take the result on faith. The objective, the taxonomy of 44 sub-risks, the severity model, the aggregation rule and the interpretation of each band are all set out in the public methodology. A score is only as useful as the method that produced it, and that method is now open to read.

To see exactly how the Controversy Exposure Score is constructed, visit sesamm.com/methodology.

Read More

Geopolitical events can quickly create ripple effects across global trade routes, supply chains, and corporate operations. For investors, commercial banks, insurers, and other organizations, identifying which portfolio companies or counterparties are exposed to these developments is a real challenge, especially when monitoring large universes of public and private companies.

SESAMm's thematic keyword search enables analysts to quickly discover controversies related to specific topics or emerging events across thousands of companies. This functionality allows them to filter results by theme without having to manually review large volumes of news and event data.

This functionality is particularly valuable when monitoring rapidly evolving geopolitical situations. To assess exposure related to the current conflict involving Iran, for example, users can run a thematic search across a broad company universe using keywords such as: Iran, Hormuz, and Suez Canal.

These keywords capture references to critical geopolitical locations and maritime chokepoints that may affect global shipping routes, energy markets, cybersecurity risks, and broader operational disruptions. Keywords can be tailored to any geopolitical scenario. Users can start broad and refine as the situation develops, or combine location-based terms with event-specific language to narrow results to the most relevant controversies.

When applied across a large company universe, the dashboard surfaces a range of related controversies ranked by severity. From high-intensity cases like escalating tensions around Iran's Bushehr Nuclear Plant, to medium-intensity signals such as retaliatory actions targeting US banks, offering clear visibility into which companies may face the highest risks.

 

amazon

Zooming In on Company-Level Exposure: The Example of Amazon

Alternatively, analysts can also use the same keyword approach to filter controversies associated with a specific company. This helps determine whether a particular portfolio holding, borrower, or insured entity may be affected by the same geopolitical developments.

Applying this search to Amazon, for instance, surfaces a high-intensity case titled "AWS Data Centers Targeted by Drone Attacks in UAE and Bahrain." The case, rated 4/5 in severity and drawing on over 200 related news events, describes significant damage to AWS infrastructure in the UAE and Bahrain following attacks attributed to Iran, prompting AWS to advise clients to migrate services.

This kind of signal carries real weight for financial institutions. For investors, it highlights operational and geopolitical risks affecting a major technology provider. For banks and insurers, it may point to infrastructure vulnerabilities, operational disruption risks, or broader geopolitical tensions affecting clients' critical systems.

From Geopolitical Events to Portfolio Risk Signals

Geopolitical events rarely affect just one company. For financial institutions monitoring thousands of entities, they create complex, evolving risk exposures across entire portfolios, lending books, and insurance coverage.

Thematic keyword searches help bridge this gap, connecting macro-level developments to company-level controversies quickly and systematically. By combining automated controversy detection with flexible search capabilities, analysts can rapidly identify relevant signals, investigate affected companies, and prioritize follow-up work.

In practice, this means moving faster from emerging geopolitical events to actionable risk insights. Whether the trigger is a conflict in the Middle East, sanctions on a major economy, or rising tensions around a critical shipping lane, the same approach applies, giving investors, banks, and insurers a systematic way to stay ahead of geopolitical risk across their entire portfolio.

Deal Screening: ManTech

March 18, 2026
5 mins read

This is from SESAMm’s Deal Screening AI report. These reports are usually used by private equity deal teams and M&A teams to conduct pre-commercial due diligence on any company or project in minutes, and they contain insights and risks on the target company as well as a full competitive and market analysis.

ManTech International Corporation is a U.S.-based defense contractor specializing in cybersecurity, data analytics, and systems engineering solutions for national security and government agencies. Founded in 1968 and headquartered in Herndon, Virginia, the company operates globally. It primarily serves U.S. defense, intelligence, and homeland security clients, delivering technology services that support mission-critical operations such as cybersecurity protection, artificial intelligence and analytics, and intelligence, surveillance, and reconnaissance capabilities.

The broader defense and intelligence services market in which ManTech operates is expanding rapidly due to rising global defense spending, geopolitical tensions, and increasing demand for advanced digital and cyber capabilities. Within this context, ManTech has recently secured several growth signals, including a $200 million cybersecurity contract with the National Oceanic and Atmospheric Administration, partnerships to deploy secure AI technologies, and major analytics and systems contracts with the U.S. Army, reflecting continued demand for its technical expertise.

The report identifies several legal and reputational risks that could be relevant in a due diligence context. The most significant relate to labor and human rights issues, including allegations by former employees that the company confiscated passports and imposed hazardous working conditions under a U.S. Army contract in Kuwait, with a U.S. court allowing human-trafficking claims to proceed. Other previous issues include whistleblower retaliation claims linked to military contract billing practices and a civil fraud settlement involving misrepresentation of security clearance status. Environmental risks appear limited, with no major pollution or climate-related incidents identified.

In the competitive landscape, ManTech operates alongside firms such as Booz Allen Hamilton, Leidos, CACI International, SAIC, and General Dynamics Information Technology. While not the largest player in the sector, it is regarded as a capable provider of secure IT and cybersecurity solutions for classified government missions. Overall, the report concludes that ManTech benefits from strong demand for defense technology and cyber capabilities but faces reputational exposure primarily tied to labor practices and contract-related compliance risks.

Deal Screening Report - ManTech

Reach out to SESAMm

SESAMm’s AI Deal Screening Reports analyze web data across over five million public and private companies to help investors quickly identify legal, ESG, and reputational risks during due diligence. To learn more about how you can generate these reports or to request a demo, reach out to one of our representatives.

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

Alibaba’s ESG risk profile remains elevated, reflected in its controversy exposure score (CES) of 99/100. Social risks include persistent criticism of “996” work practices, workplace conduct controversies, layoffs, and reputational fallout from marketplace safety incidents, and rising customer complaints. Governance risks, meanwhile, are multi-jurisdictional, spanning U.S. audit scrutiny and past NYSE delisting threats, alleged filing irregularities in India, EU DSA pressure on AliExpress, and ongoing counterfeit and patent litigation.

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.

Governance risks are multi-jurisdictional and litigation-heavy, spanning a $100 million U.S. lawsuit, repeated IP disputes, and a RICO suit alleging systematic design theft, as well as data and marketing compliance failures that resulted in a $1.9 million fine and major enforcement actions in Europe, including France’s $176 million cookie fine. Meanwhile, environmental exposure remains structurally tied to Shein’s fast-fashion model, with recurring hazardous chemical findings breaching EU limits, scrutiny over air-freight emissions, and greenwashing enforcement, including a €1 million fine in Italy.

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.

 

roche holding

 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.

For decades, private market investors have relied on upfront due diligence as the primary moment to assess ESG, reputational, and operational risk. The logic was straightforward: conduct a thorough review at acquisition, document the risks, and manage the asset from there. That model is now under increasing strain. Not because due diligence is no longer important, but because the environment in which private investments operate has changed fundamentally.

This shift was a central theme of a recent 2026 webinar on private markets featuring Benjamin Krusche, Strategy Director at Clarity AI, and Sylvain Forté, CEO at SESAMm. Both speakers emphasized that one-off ESG due diligence no longer reflects how risk actually emerges over the life of an investment, and why continuous monitoring is becoming essential.

Due Diligence Hasn’t Disappeared - The World Around It Has Changed

Upfront due diligence has always been a cornerstone of private market investing, and it remains essential. What has changed is not the role of diligence itself, but the assumptions that once made a point-in-time assessment sufficient.

Historically, many ESG and reputational risks were relatively static. If an asset appeared clean at entry in terms of governance, compliance, or industry exposure, it often remained so long enough to exit. ESG due diligence, in that context, was largely about establishing a baseline. Today, risk behaves differently.

A recurring theme throughout the webinar was that some of the most material ESG and reputational risks can emerge after acquisition rather than at deal close, especially as holding period durations increase. These risks surface through litigation, regulatory enforcement actions, labor and human rights incidents, or reputational controversies. Signals that rarely align neatly with due diligence checklists.

In private markets, where disclosure remains fragmented, the absence of information at entry does not imply the absence of risk. It simply delays visibility. That said, continuous monitoring is not a complete solution to this opacity. Many private portfolio companies, particularly mid-market industrials, have minimal media footprints and limited public disclosure. Monitoring signals that do not exist produces no insight. Effective coverage, therefore, requires triangulating across multiple data sources, including direct company engagement.

Risk Is No Longer Static - It Is Event-Driven and Fast-Moving

Many of today’s ESG and reputational risks are triggered externally and unfold quickly, often outside management’s direct control. While management-provided information remains important, it is no longer sufficient on its own.

Today, many material risk signals emerge from:

  • Media reporting
  • Regulatory actions
  • NGO investigations
  • Court proceedings
  • Employee and labor disputes

These signals often appear well before issues are formally disclosed, if they are disclosed at all. As a result, relying solely on point-in-time information captured at acquisition creates blind spots that widen over time.

Longer Holding Periods Increase the Cost of Being Late

Longer holding periods amplify these challenges. Issues that were immaterial (or invisible) at acquisition can surface years later, well beyond the scope of an initial due diligence exercise. When that happens late in the holding period, the consequences can be significant: delayed exits, repricing, or friction during refinancing. But the pressure is also coming from the other direction. Large institutional LPs are increasingly embedding ongoing ESG reporting and monitoring requirements directly into side letters and limited partnership agreements, making continuous visibility not just prudent risk management but a contractual obligation for many GPs.

As SESAMm CEO Sylvain Forté explained during the webinar, “As companies tend to be held in portfolios for a longer period of time, that need for information has increased. Oftentimes, there was a perspective that for direct investment, deal teams would provide sufficient information and management would provide sufficient information on portfolios. But as the timescale is expanding and expanding, and the duration of these investments continues to grow, we see that this has been a real change in terms of making sure that there are no emerging operational risks that would not have been captured at the diligence stage, emerging governance risk, litigation, and reputational risk exposure.”

Scale Has Changed the Equation

This challenge is compounded by scale. Private market portfolios today are larger, more global, and more heterogeneous than in the past. Secondaries transactions make this particularly visible: investors may need to assess and monitor hundreds of assets under tight timelines, often with limited access to underlying companies, making point-in-time ESG assessments particularly fragile and extremely time-consuming in inherited portfolios.

Manual, human-led monitoring processes that once worked no longer scale. The issue is not a lack of expertise; it is a lack of continuous, consistent visibility across portfolios.

From Static ESG Snapshots to Continuous Risk Visibility

What is replacing point-in-time ESG due diligence is not simply “more data,” but a different operating model.

ESG information is increasingly integrated into investment decision-making as a continuous input rather than a one-off compliance step. Benjamin Krusche, Strategy Director at Clarity AI, described this shift clearly: “The classical point-in-time due diligence really is breaking down, and what people are moving towards is a much more continuous updating of the initial thesis, a continuous monitoring of this risk as well.”

Continuous monitoring allows investors to track emerging issues across portfolios, reassess risk as conditions change, and compare exposures consistently over time, something static due diligence packs were never designed to do.

Why This Shift Matters Now

The move away from point-in-time ESG due diligence reflects a convergence of structural forces:

  • Faster-moving, event-driven risk
  • Greater reliance on external signals
  • Longer holding periods
  • Larger and more complex portfolios

Taken together, these forces fundamentally change the role ESG due diligence can play in private markets. It is no longer just a gate at entry but an ongoing input into investment and risk decisions.

As Benjamin Krusche commented, by the end of 2026, “the idea that you conduct due diligence once at acquisition and treat it as a finished product will look very outdated. The market is moving toward continuous, fluid monitoring of risk - not a one-off assessment that sits untouched in a data room until exit.”

For private market investors, the implication is not to abandon due diligence, but to recognize its limits, and to complement it with continuous, portfolio-level risk visibility that reflects how risk actually behaves today.

In theory, a portfolio with no ESG controversies signals low risk. In practice, experienced analysts treat it as a warning sign. The absence of alerts often reflects not resilience, but limited coverage, fragmented data, or incomplete aggregation. What looks like reassurance may instead point to a gap in visibility.

This dynamic came up repeatedly during our recent webinar, Private Markets in 2026: Macro Trends, ESG Shifts, AI Innovation and What It Means for Deal-Flow. The discussion highlighted how gaps in coverage and aggregation can shape investor perception, particularly when portfolios appear “quiet,” not because risks are absent, but because relevant information is not being captured.

This dynamic matters more than ever as private market due diligence intensifies. With fewer deals, longer holding periods, and higher selectivity, investors are spending more time scrutinizing assets before acquisition and monitoring them for longer after entry. Yet the informational foundation behind many ESG assessments has not caught up with these expectations.

“Most of our clients in private equity or banking would come to us because they haven’t found a solution that properly covers their portfolio of assets. And so when nothing happened on that portfolio, that was not perceived as a positive thing.” Sylvain Forté.

When "No Data" Becomes "No Risk"

Private assets operate under persistent disclosure constraints. Unlike public companies, most private firms do not produce standardized, recurring ESG disclosures, nor do they benefit from consistent analyst coverage. These gaps are structural and unlikely to disappear in the near term.

In this context, silence is ambiguous. A clean ESG screen may indicate the absence of material issues, but it may just as easily signal that no relevant information was captured. Language limitations, fragmented sources, and uneven coverage across geographies and asset types all contribute to this uncertainty.

This dynamic is particularly visible in secondary transactions. Deal teams often need to assess large portfolios under tight time pressure, with limited access to management and incomplete identifiers. In such cases, relying on the absence of signals can create false confidence rather than reduce risk.

How Weak Coverage and Duplicated Signals Create Blind Spots

Even when information exists, it is not always immediately actionable. Adverse media has become a valuable substitute where structured ESG data is limited, offering outside-in visibility into private assets. However, it is not without challenges. Without robust aggregation and cross-language consolidation, the same issue can appear repeatedly across multiple articles, jurisdictions, and languages, creating duplication rather than clarity. At the same time, gaps in coverage or weak filtering can allow other material risks to go undetected.

At the same time, some portfolios appear unusually quiet simply because the underlying assets fall outside the scope of traditional datasets. ESG and reputational expectations in private markets remain fragmented, with bespoke workflows driven by LP-specific requirements. This lack of convergence makes it difficult to distinguish between genuinely low exposure and analytical gaps.

More data does not automatically resolve this problem. Without traceability, source quality, and a way to assess financial, legal, or operational materiality, increased volume can add noise without improving decisions. In that environment, silence can be just as misleading as signal overload.

What Meaningful ESG Visibility Looks Like Under Disclosure Constraints

A core takeaway from the webinar was that point-in-time ESG assessments are no longer fit for purpose in private markets. A single diligence exercise conducted at entry cannot capture emerging governance failures, litigation, reputational issues, or supply chain risks over multi-year holding periods.

Instead, meaningful ESG visibility combines three elements:

  • Broad coverage, to avoid portfolios appearing "low risk" simply because assets are not captured.
  • Aggregation and severity assessment, to separate isolated news from controversies with real financial or operational implications.
  • Continuous monitoring, so the original risk thesis evolves as new information emerges rather than remaining static.

This approach reframes ESG from a compliance exercise into a source of informational advantage. Rather than concluding that no alerts mean no risk, investors use ESG signals to guide follow-up questions, prioritize deeper diligence, and identify issues that were not visible at entry.

Replacing False Comfort with Informed Uncertainty

Private markets will continue to operate with imperfect information. Disclosure gaps, opaque supply chains, and bespoke reporting demands are inherent to the asset class.

Treating “no issues detected” as a conclusion creates false comfort. Treating it as a hypothesis, contingent on coverage quality and monitoring depth, aligns ESG analysis with how risk actually emerges in private assets.

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.

ESG Assessment: Eureden

February 18, 2026
5 mins read

Eureden is a large farmer‑owned French agri‑food co‑operative headquartered in Brittany, combining upstream agricultural inputs and advice with downstream vegetables, eggs, meat/charcuterie, dairy, retail chains and labs across roughly 40 industrial sites in France, Germany, Spain and Hungary and generating about €3.7–3.8bn in annual revenue, according to its website and latest integrated report.

Eureden’s main ESG risks stem from legacy health‑and‑safety failings at Triskalia/Nutréa pesticide and feed sites, where French courts repeatedly recognised work accidents and occupational diseases as due to the employer’s “inexcusable fault” in pesticide‑exposure cases, including a worker suicide linked to workplace conditions, alongside other labour tensions, recurring though mostly precautionary food and allergen recalls, an environmental enforcement order against an ICPE site, and structural exposure to climate, biodiversity, animal‑welfare and chemical‑use risks from intensive livestock, pesticides and Seveso‑classified storage. At the same time, the company reports a relatively advanced CSR framework, high levels of external certifications (100% of industrial sites under at least one food‑safety/quality standard), externally assured integrated reporting with group‑wide ESG KPIs, CSR‑linked financing and programmes on pesticide reduction, non‑deforestation soy, climate, water and waste, while stating alignment with UN Global Compact principles without being a listed signatory; no international sanctions listings or OECD complaints involving Eureden were identified in public sources.

2026-01-28_2053_esg_ai_screening_report_Eureden.pdf

Reach out to SESAMm

SESAMm'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.

BNP Paribas has passed a significant milestone in its energy financing strategy, with more than 80% of its energy production financing now directed toward low-carbon energies.

The increase marks a notable acceleration compared with previous periods. Low-carbon energy financing accounted for approximately 65% of BNP Paribas’ energy production exposure in 2023, rising to around 76% in 2024, before surpassing the 80% threshold in 2025. The category includes renewable energy sources such as wind, solar and hydropower, as well as nuclear energy, which the bank classifies as low-carbon.

At the same time, BNP Paribas has continued to reduce its exposure to fossil fuel energy production. Credit exposure linked to oil and gas projects has declined as financing volumes for renewables and other low-carbon technologies increased, reflecting the bank’s longer-term commitment to rebalancing its energy portfolio in line with climate objectives.
Beyond energy production financing, the bank has also reported progress against its broader transition finance ambitions. By the end of 2025, BNP Paribas had mobilized more than €250 billion in financing supporting the low-carbon transition, exceeding its initial €200 billion target ahead of schedule. The bank has since confirmed updated objectives, including a target to reach 90% low-carbon energy financing by 2030.

While the figures relate specifically to energy production financing exposure, rather than BNP Paribas’ total lending activity, they nonetheless highlight the pace at which large financial institutions are reshaping their energy strategies. As regulatory scrutiny, investor expectations, and transition risks continue to intensify, the composition of energy financing portfolios is increasingly viewed as a key indicator of alignment with long-term climate goals.

Controversial business involvement screening is moving beyond its origins as a compliance exercise.

Under frameworks like SFDR and the EU Taxonomy, investors must prove that their portfolios not only promote sustainability but also exclude activities fundamentally at odds with environmental, social, or ethical principles. This marks a shift from static disclosure toward dynamic accountability, and it has broadened both the scope and ambition of ESG screening.

Historically, exclusions focused on a narrow range of activities - weapons, tobacco, or fossil fuels - and primarily applied to public equities. Today, that universe has expanded dramatically. Private markets, secondaries portfolios, and private credit exposures are now expected to undergo the same scrutiny as listed assets. This reflects not only regulatory alignment but also diversifying investor expectations, as institutions incorporate reputational, cultural, and mission-based constraints into their investment frameworks.

Modern exclusion policies increasingly include areas not yet covered by regulation but relevant to ethics, faith, or social impact. Examples range from pork-related activities in Sharia-compliant portfolios to emerging debates over cryptocurrency mining and trading, and even biotechnology topics such as human cloning or genetic manipulation that raise profound ethical questions. These additions illustrate how business involvement screening is evolving from a rule-based checklist into a reflection of each investor’s worldview and stakeholder commitments.

This evolution, however, brings complexity. Private assets and novel sectors often lack standardized data or public disclosures. ESG, compliance, and deal teams must process incomplete information, document decisions, and adapt quickly to new mandates - all without expanding headcount. The result is a growing need for automation that can adapt to human nuance.

SESAMm’s AI-powered business involvement screening meets that need. By allowing investors to screen based on their own exclusion categories and thresholds, it translates varied mandates - from regulatory to reputational - into a single, automated process.

Automating Controversial Business Involvement Screening in Public and Private Assets

SESAMm’s platform uses a new AI agent approach that scans and analyzes vast amounts of information. Below, we provide an overview of SESAMm’s business involvement screening capabilities and how they address investors’ needs for automation, thresholding, and flexible outputs.

Comprehensive Coverage through Big Data

SESAMm utilizes its AI engine to monitor over 30 billion articles and 10 million new documents daily from various sources, including news sites and NGOs. This extensive data collection spans multiple languages and local outlets, enabling it to detect obscure references to companies and raise alerts for issues such as misconduct. SESAMm's coverage encompasses millions of public and private companies, enabling users to conduct thorough screenings of any entity, including private companies and subsidiaries.

Customizable Exclusion Frameworks

SESAMm’s business involvement screening gives investors control over what to screen and how to classify it. Users can request customization of exclusion categories to mirror their own policy, whether based on regulation (e.g., SFDR, EU Taxonomy) or internal mandates (e.g., faith-based or reputational constraints). In addition to standard ESG categories like fossil fuels or weapons, investors can add custom topics. This flexibility allows ESG, compliance, and secondaries teams to tailor the tool to their precise needs,.

Threshold-Based Classification

SESAMm’s business involvement screening module is built around the concept of threshold-based flags. The AI utilizes structured data and unstructured signals to determine involvement levels. The output for each company is a clear classification: No Involvement, Limited Involvement, or Significant Involvement for each category. These classifications correspond to thresholds – limited might mean some involvement but below the exclusion threshold, significant means above the threshold or its a core business. By encoding the thresholds in the system, SESAMm ensures consistency with the investor’s policy. This is crucial for automation: rather than an analyst manually checking revenue percentages and news, the system does it automatically and provides clear justification.

Rapid Portfolio Screening Process

The system is designed for fast, self-contained screening. A user simply uploads a list or portfolio, and within hours receives a complete file summarizing involvement across all exclusion categories. The output includes company-level classifications, summaries of supporting evidence, and references to sources. This enables investors to integrate the results directly into due diligence workflows, risk committees, or regulatory reporting, with no ongoing manual data maintenance required.

Cost and Resource Efficiency

Automating this process saves substantial analyst time, particularly for rating agencies and secondaries investors managing high volumes of entities. Rating agencies can use the pre-classified results as a baseline input for their own ESG or credit assessments, reducing the manual data-gathering burden. LPs and GPs can run large private company universes in-house without additional research teams. In secondaries, where a full portfolio review can take days of analyst effort, SESAMm’s workflow compresses that timeline to just a few hours, enabling ESG validation to fit seamlessly into transaction schedules.

Auditability and Verification

Each classification is fully transparent. Analysts can drill down into the evidence behind a flag, including links to original articles, filings, or corporate statements, and verify the AI’s reasoning. Automatic translation ensures accessibility across languages. This transparency builds trust in the results and provides auditable documentation for LP reporting or regulator reviews.

As ESG investing matures, the leaders will be those who can implement exclusions transparently, efficiently, and in alignment with evolving norms. The next frontier is no longer just regulatory compliance - it is the ability to anticipate what clients and society will expect tomorrow, and to operationalize those expectations across all asset classes. SESAMm’s technology makes that possible: a platform that keeps pace with both policy evolution and moral expectations, bringing consistency and clarity to an increasingly complex ESG landscape.

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.

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