This is Resonate AI.

We harness the power of data to drive sustainable transformation.

Simplify
By transforming complex data into actionable intelligence, we empower businesses, policymakers, and industry leaders to make informed decisions that promote sustainability, ethical practices, and responsible growth.
Data-driven
Our solutions provide a roadmap for reducing carbon footprints, optimizing resource utilization, and implementing socially responsible practices across various sectors.
Expert Advice
With a deep understanding of CSR and a commitment to sustainable development, we partner with organizations to unlock new opportunities, mitigate risks, and pave the way for a greener, more ethical, and responsible future.

this is how it works

In-depth on our methodology

What is Retrieval-Augmented Generation (RAG)?

Retrieval-Augmented Generation (RAG) is a powerful method that combines the best of two worlds: the depth of a large language model (LLM) and the precision of a search engine. Instead of relying solely on a model’s static memory, RAG dynamically pulls in the most relevant information from an external knowledge base, like a database or document collection, at the time of a user query.

We’ve indexed over 200,000 company sustainability and policy reports - one of the largest corpora of its kind - and made them fully searchable and analysable through our RAG-powered platform.

This ensures that responses are both accurate and up-to-date, grounded in real data, and tailored to the context of the question.

What is the Reporting Quality Index (RQI)?

At Resonate AI, we are dedicated to elevating the standard of sustainability reporting through our proprietary framework, designed to align reports with best practices and stakeholder expectations.

Our framework is built on four fundamental pillars: Commitment, Comprehensibility, Consistency, and Transparency. Each pillar is underpinned by a suite of quantitative metrics that analyze various aspects of the report’s content and language.

What is Cheap Talk?

The “cheap talk” score is a metric derived from the ClimateBERT model, which helps in identifying statements or texts that might be considered as non-substantive or superficial in the context of climate-related discussions.

Essentially, this score helps to distinguish between genuinely informative content and content that may appear to be paying lip service to climate issues without substantial backing or action.

What is Sentiment Analysis?

Sentiment analysis determines the emotional tone behind a body of text, which is particularly useful for businesses aiming to understand how their communications are perceived, such as when analyzing the sentiment of annual reports.

At its core, sentiment analysis identifies positive and negative sentiments within text. By employing advanced natural language processing (NLP) techniques, we can quantify these sentiments to provide a clear depiction of the emotional undertones in reports.

Research and Insights

Latest news and articles

28 May 2025

China Daily

Tech to ensure transparency in corporate
sustainability

Authors:  Adam William Chalmers

As sustainability reporting grows, companies face rising demands for transparency—but also a crisis of clarity. AI offers a solution by analysing over 200,000 ESG reports to detect vague “cheap talk” and benchmark reporting quality. Using NLP and machine learning, AI flags empty promises, highlights gaps in frameworks like TCFD, and identifies whether firms have real, time-bound transition plans. With 60+ indicators, AI enables a“transition audit” to assess climate readiness. While not a silver bullet, AI enhances trust, comparability, and accountability in ESG disclosures—empowering regulators, investors, and the public to cut through the noise and demand more credible corporate action.

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June 2024

Capco Institute Journal of FinancialTransformation

Governance of sustainable finance

Adam William Chalmers, Robyn Klingler-Vidra, David Aikman, Karlygash Kuralbayeva and Timothy Foreman

This article offers insights into what sustainable ­ nance means andhow it is addressed in the public policy context using a subset of the Carrots& Sticks dataset that comprises 1,070 sustainable ­ nance policies. Thestudy reveals the financial services sectors targeted, who is governing, andhow binding sustainable ­ nance policies are. Additionally, the study exploreswhether policymakers and standard-setters concentrate their efforts onrecommending positive action or establishing binding rules. The findings helpto advance a shared understanding of the governance of sustainable ­ nance inthe context of public policymaking

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23 January 2024

Global Policy

Post-woke: Corporate America has reduced woke communications since 2020

Adam William Chalmers and Robyn Klingler-Vidra

Corporate America's use of "woke"language in CSR communications peaked in 2020 and has since declined. Newresearch by Chalmers and Klingler-Vidra, analysing over 700 CSR documents fromtop U.S. companies (1997–2021), shows an initial rise in social justiceterms—like "allyship" and "racial justice"—particularlybetween 2015–2020. But backlash, political shifts, and reputational concerns(e.g., "woke Disney") are driving a retreat. Some firms—like Oracleand Intel—grew more woke, while others—like Amazon and Lockheed Martin—scaledback. Globally, wokeness is waning in places like China and France, but risingin Canada and Mexico. The trend suggests a shift from moral posturing toauthentic responsibility.

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European Sustainability Reporting Standards(ESRS): Interoperability as innovation?

The European Sustainability Reporting Standards(ESRS) have been hailed as innovative, yet new research finds their language isnot novel. Instead, the ESRS prioritizes interoperability—closely aligning withexisting standards like GRI, SASB, and TCFD. Using NLP on over 2,400 policiesin the Carrots & Sticks database, the ESRS scored below average on policyinnovativeness. While not revolutionary, this alignment strengthens globalconvergence and gives legal force to previously voluntary frameworks. Comparedto other EU proposals, the ESRS is less innovative but more enforceable. Itsvalue lies in standardization and enforceability—not originality—makinginteroperability the real innovation behind the ESRS.

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Sustainable finance: the rise of the “E” in ESG

New research shows a marked rise in environmental (“E”) language over social (“S”) in global sustainable finance policies from 2001 to 2021. Analyzing over 1,000 public policies using text-as-data methods, the study finds that early discussions centered on social responsibility and governance, but since 2016, “green” and “climate”-focused terms like green bonds and carbon finance have become dominant. This reflects a return to sustainable finance’s environmental roots from the 1992 Rio Summit and highlights the financial sector’s growing role in mobilizing capital for climate goals. Today, “sustainability” increasingly means environmental sustainability—subordinating social concerns under climate priorities.

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Inconsistent language can undermine the credibility of corporate social responsibility reports

Companies’ ability to communicate sustainability initiatives has become a litmus test for their authenticity and dedication to responsible practices. Lexical inconsistency may contribute to so-called ESG backlash. Adam William Chalmers and Robyn Klingler-Vidra assess the coherence of companies’ sustainability reports and find a growing language inconsistency over time, which can prompt suspicions of greenwashing (the act of embellishing sustainability efforts without substantive action).

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Frequently Asked Questions

What does Resonate AI specialize in?

Resonate AI specializes in analyzing, benchmarking, and enhancing the quality of Environmental, Social, and Governance (ESG), Corporate Social Responsibility (CSR), and sustainability reports. Using advanced natural language processing (NLP) and machine learning technologies, we empower organizations to improve the transparency, effectiveness, and impact of their reporting.

Who can benefit from Resonate AI’s services?

Our services are designed for organizations across sectors committed to improving their ESG performance and reporting. This includes corporations aiming for better investor engagement, regulatory compliance, or sustainability leadership, as well as consultancies, auditors, and public institutions working to ensure high standards in ESG disclosures.

How does Resonate AI ensure the accuracy and reliability of its analysis?

Resonate AI leverages cutting-edge machine learning models, trained on vast amounts of ESG data, to provide precise and actionable insights. Our benchmarking processes are aligned with global standards and best practices, ensuring that our analyses are both accurate and relevant to industry expectations.

What sets Resonate AI apart from other ESG analytics providers?

Our unique combination of advanced NLP technology and a deep understanding of ESG frameworks sets us apart. Resonate AI doesn’t just analyze data—it benchmarks your performance against competitors, highlights areas for improvement, and provides actionable recommendations tailored to your industry. We are not just a tech company; we are a partner in your sustainability journey.

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