In an era where information increases at an unprecedented pace, the necessity for intelligent and efficient methods to filter and analyze large datasets is more critical than ever. This need is particularly emphasized in the finance industry, where private equity firms and asset managers require real-time, AI-powered ESG monitoring to make informed investment decisions.

Harnessing the power of AI for ESG monitoring

As Tyler Cowan noted, even if one could read an article in a second, it would take a lifetime to consume the volume of data available. At SESAMm, we analyze over 20 billion records, representing 250 terabytes of dense information. The challenge is, how can professionals navigate this ocean of data in a reasonable timeframe to make critical decisions?
Natural language processing and AI-powered techniques provide the solution. These technologies enable us to comprehend and navigate a multitude of documents, from newspapers to niche blogs, in mere seconds.

The need for AI-powered ESG monitoring

For private equity firms and asset managers, AI-powered ESG monitoring is not just a trendy concept but a necessity. Identifying potential ESG controversies and understanding the impact of various ESG factors on investment portfolios is crucial for risk management and investment strategies.
At SESAMm, our approach is similar to a "machete, then sandpaper" method. We first eliminate the unnecessary information and then gradually refine the data. We construct a knowledge graph that includes a broad range of entities, from companies and executives to brands and products. By employing custom indices and advanced algorithms, we focus on the most relevant data points. And in the last year, generative AI has been helping us to refine this process even further, achieving a high level of accuracy in our results.

Leveraging AI for ESG insights

Using AI and algorithms like DistilBERT and the Universal Sentence Encoder allows us to process vast amounts of information swiftly. By utilizing a hybrid model that combines on-premises servers with cloud-based solutions, we ensure speed without compromising cost-efficiency.
Our specific workflows for identifying ESG controversies leverage this technological prowess. We understand the importance of not sending our clients on wild goose chases with false positives. Our AI-powered ESG monitoring system is designed to identify only the most relevant and likely material risks. This approach saves time and ensures our clients have the insights they need without being overwhelmed.

From vast data to actionable insights

Our journey begins with over 20 billion records, but the destination is concise, actionable insights tailored to your industry and needs. We focus on what truly matters, employing AI, NLP, and strategic data processing techniques to transform a deluge of information into a manageable stream.
For private equity and asset managers, our AI-powered ESG monitoring provides the critical insights needed to make informed decisions. By prioritizing precision and reducing noise, we ensure that the information we present is not just accurate but also relevant.

SESAMm's approach

The age of information has called for intelligent, systematic detection of ESG controversies. Through AI-powered ESG monitoring and careful consideration of unique requirements, SESAMm delivers unparalleled insights tailored to the world of finance.
If your firm is engaged in private equity or asset management and is keen on leveraging data to identify potential ESG risks and controversies, SESAMm's offerings are designed to meet your exact needs.

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 request a demo, contact one of our representatives.

Allianz Commercial oversees underwriting for a highly diversified global client base, including a vast ecosystem of large and medium-sized enterprises and infrastructure projects.

To enhance visibility into underwriting risks at scale, Allianz Commercial partnered with SESAMm to implement an automated sustainability and reputational risk due diligence capability directly integrated into underwriting workflows. SESAMm now automates the assessment of hundreds of thousands of companies each year, delivering structured insights on sustainability and reputational risk in seconds via a real-time API-driven workflow.

This deployment functions as a fully integrated component of daily underwriting activities across global teams, supporting high-volume decision-making processes without adding operational burden.

Key Benefits at a Glance

• Efficiency: Transformed a manual, multi-step process into a fully automated, real-time underwriting check delivered in seconds.
• Going Beyond Data: Automatically completes the sustainability and reputational due diligence questionnaire rather than simply delivering raw risk event data, saving time and enabling faster referral decisions.
• Dedicated Corporate and Infrastructure Projects Coverage: Comprehensive global coverage across corporate coverage and infrastructure projects.
• Tailored Approach: Risk logic configured to Allianz Commercial’s underwriting policies and decision frameworks, delivering assessments tailored to its specific requirements rather than requiring adaptation to an off-the-shelf product.

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Underwriting teams had sustainability and reputational risk data for large listed companies from an existing data provider, but required broader coverage across SMEs and privately held companies. To fill this gap, underwriting teams relied on a combination of internal processes and external research to identify potential risks. As volumes increased, ensuring consistent and timely access to sustainability impacts became a key challenge, particularly during onboarding and renewal cycles.

As part of this process, SESAMm delivered significant additional value by providing direct answers to each sustainability and reputation due diligence questionnaire question in a systematic way, enabling Allianz Commercial to fully automate the process, which was not feasible with other solutions.

Allianz Commercial aimed to:  

• Provide underwriters with immediate access to structured risk data.
• Align with internal sustainability and reputational risk guidelines.  
• Support efficient onboarding and renewal workflows at high volumes.

Allianz Commercial needed a solution that could deliver real-time, standardized, and scalable risk insights directly within underwriters’ workflows.

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SESAMm partnered with Allianz Commercial to deploy a fully integrated risk intelligence layer embedded within its proprietary underwriting environment. Underwriters now access SESAMm insights directly within their existing interface.

When underwriters enter a company identifier, the system uses Dun & Bradstreet’s D‑U‑N‑S® Number to anchor the search in a globally recognized, trusted, and data‑rich company record. With that foundation, the SESAMm API can instantly retrieve and deliver a structured sustainability and reputational risk assessment, supporting both precise entity matching and scalable discovery across millions of companies.

The SESAMm API evaluates external data over a multi-year period and automatically answers predefined due diligence questions across sustainability and reputational risk categories. Each response includes:

• Clear yes/no determinations
• Supporting justification and context
• Supporting evidence, compliant with Allianz Commercial audit track requirements

The output is aligned with internal reputational risk and sustainability guidelines and supports transparent, auditable underwriting decisions without adding operational complexity.

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Since deployment, SESAMm has enabled Allianz Commercial to evaluate corporate coverage  and infrastructure projects underwriting with consistent, real-time external risk intelligence. A process that previously required multiple research and validation steps can now be completed in under a minute through automated API-driven checks embedded directly within underwriting workflows.

The solution supports the assessment of hundreds of thousands of companies annually for Allianz Commercial and provides underwriters with documented sustainability and reputational risk insights at the point of decision. With expanded visibility across privately held and smaller companies globally, Allianz Commercial benefits from a far more consistent risk coverage while maintaining the speed and reliability required for high-volume onboarding and renewal processes across global operations.

Human rights concerns took center stage in November, with rising scrutiny on how digital platforms and luxury brands safeguard vulnerable users and workers. Across the market, allegations of child exploitation, extremist activity, and labor abuses exposed significant governance and oversight gaps. The month’s top three most controversial companies were Roblox Corporation, Snap Inc. (Snapchat), and Tod’s, each facing escalating legal and regulatory pressure.

#1: Roblox Corporation: Intensifying Allegations of Child Exploitation

Roblox, the video game developer, experienced a surge of human rights–related controversies, driven by lawsuits and criminal cases involving child exploitation and online extremism. Multiple families in the United States filed suits alleging that predators used the game to groom and coerce minors, in some cases leading to severe psychological harm.

Regulators also increased pressure. The Texas Attorney General sued the company, accusing it of violating safety laws and misleading parents about the risks associated with young users. Additional criminal cases surfaced in the US, Ireland, and Argentina, where adults were convicted of grooming minors through Roblox. The company faced further backlash after its CEO referred to the child predator crisis as an “opportunity,” prompting criticism even as Roblox highlighted new age-verification tools aimed at improving safety.

#2: Snap Inc.: Social Messaging Platforms Under Renewed Scrutiny

Snap Inc., known for its messaging app Snapchat, emerged as the second-most controversial company in November following several serious incidents involving minors. In the United States, a missing 13-year-old girl was found in a Pennsylvania basement after meeting a man on Snapchat, who has since been charged with human trafficking and sexual assault. Another investigation led to the arrest of a New York man after Snapchat flagged suspected child sexual abuse material on his account.

At a broader level, new research from the Canadian Centre for Child Protection revealed widespread online sexual violence among youth, with Snapchat cited as one of the primary platforms involved. The company was also named in a major lawsuit filed by US school districts against Meta, Google, Snapchat, and TikTok, alleging that platforms suppressed internal research on youth harm and failed to implement meaningful protections.

#3: Tod’s: Supply Chain Labor Abuses Trigger Legal Action

In the luxury sector, Tod’s faced heightened scrutiny following new developments in an ongoing investigation into labor exploitation at its supplier factories. Italian prosecutors expanded their probe into three company executives, citing evidence of serious labor violations involving 53 workers employed by subcontractors. Issues raised included long working hours, low wages, inadequate safety standards, and poor living conditions.

Authorities also highlighted potential negligence and omissions by management, arguing that Tod’s failed to act on inspection findings that documented the abuses. Prosecutors have requested a six-month advertising ban and previously sought judicial administration over the company’s supply chain controls.

Conclusion

November’s top controversies underscore increasing pressure on companies to ensure robust human rights protections, both online and across global supply chains. As regulators, law enforcement, and civil society intensify oversight, firms in technology and consumer markets face rising expectations to demonstrate stronger safety systems, transparent governance, and proactive risk management.

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.