AMSTERDAM, NETHERLANDS, 12 November 2025 – SustainoMetric, a leading independent provider of high-quality, comprehensive, bespoke sustainability research, analysis and consultancy, today announced the launch of SustainoLens, its specialised platform designed to enhance the rigor and efficiency of corporate disclosure analysis.

The platform’s introduction is in response to the industry’s need for reliable data processing solutions. While AI accelerates disclosure screening, its efficacy is often constrained by the high subjectivity of ESG disclosures and the differing ways in which various research houses and investment professionals interpret or consume the same information. SustainoLens utilises a proprietary “Human-in-the-Loop” operating model, integrating advanced technology with expert review to maintain data quality at scale.

The expansion of sustainable investment mandates has intensified scrutiny on the quality and auditability of ESG data. Institutional investors are obligated to align portfolios with regulatory requirements and client expectations, yet they frequently encounter challenges stemming from inconsistent corporate reporting and the inherent limitations of fully automated data extraction. This environment necessitates robust solutions that can mitigate the risk of data misinterpretation.

SustainoLens has been developed as a de-risking tool for ESG research on complex and non-standardized disclosures. Following an exhaustive two-year process where various AI technologies and workflows were tested for accuracy and efficacy, the Human/AI hybrid architecture of SustainoLens, ensures that efficiency gains derived from AI are systematically validated, providing confidence in the data used for critical decision-making and compliance.

Nitesh Pahuja, Group Manager at SustainoMetric, said: “The effective integration of ESG factors requires solutions that balance technological speed with analytical precision. SustainoLens provides this equilibrium. By leveraging AI to augment human analysts, we are delivering the accurate, verified, auditable data necessary for institutional investors to manage regulatory complexity and confidently execute their long-term capital allocation strategies.”

Mohit Agrawal, Director Innovation and Strategy at SustainoMetric noted “It is only now that AI technology has developed sufficiently that it meets the quality standards that we expect to deliver. We conducted a detailed and patient process of rigorous testing and are now delighted to be able to offer this new, more efficient way of working to our growing client base, and look forward to supporting the market as it takes full advantage of these new capabilities. Cost of AI was another important factor that we had to keep in mind while developing this tool.”

SustainoLens operates as a high-assurance framework, designed to standardise the evaluation of non-financial disclosures:

• AI Data Extraction: The platform’s machine learning capabilities are deployed to automatically capture, categorise, and tag data from high-volume, unstructured source documents, including corporate filings and non-standard reports. This process has demonstrated the capacity to accelerate analysis by 2x to 5x compared to entirely manual workflows.

• Expert Validation Layer: SustainoMetric analysts conduct immediate and mandatory quality control on all AI-extracted data points. This review layer is crucial for interpreting nuanced disclosures, applying necessary contextual judgment, and ensuring alignment with specific client-defined methodologies.

• This combined approach has been subject to rigorous internal testing, demonstrating its effectiveness in compliance contexts. In an analysis covering 34 companies, SustainoLens achieved greater than 90% accuracy on complex regulatory alignments, notably within EU Taxonomy assessments, confirming the methodology’s high degree of reliability.

The SustainoLens platform allows clients to tailor their disclosure analysis to precise investment objectives:

• Custom Framework Integration: The system supports the direct integration of client-specific questions and proprietary criteria via a simple data input, enabling alignment with any unique methodology or international standard (e.g., TCFD, SFDR, CDP).

• Structured, Auditable Output: The final deliverable is a verified, auditable ESG dataset, optimised for integration into portfolio management and reporting systems to support consistent monitoring of sustainability outcomes.

ENDS

For more information please contact:

Mohit Agarwal

m.agarwal@sustainometric.com

About SustainoMetric

Founded in 2017, SustainoMetric is a leading independent provider of high-quality, bespoke sustainability research, data analysis, and advisory services.

SustainoMetric’s work starts where the client’s capacity ends – With a team of more than 170 highly-experienced sustainability analysts, SustainoMetric acts as a seamless, reliable extension of its clients’ research teams, offering scalable solutions tailored to meet specific and changing needs. SustainoMetric’s expertise covers the full range of sustainability themes and regulatory frameworks, addressing critical gaps in every client’s analysis.

SustainoMetric works with clients such as ESG rating agencies, financial market participants, civil society organis     ations, and corporates, to gather and analyse critical sustainability data which improves their operations and investments. SustainoMetric is committed to helping clients address their research needs, expand their capacity and enhance their expertise, whilst driving cost efficiencies and achieving their sustainability goals.

From thematic research to supply chain due diligence, SustainoMetric has the full spectrum of trusted and transparent research services covered, providing actionable insights that drive efficiency and clarity – delivering meticulous sustainability research that empowers organisations.

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