Sustainable Finance Regulatory Outlook 2025

Ensure Your Fund Names Match the Assets Behind Them

Confidently Align With ESMA’s ESG Naming Rules

Avoid costly exclusions and compliance doubts with data that’s clear, precise, and built to stand up to scrutiny.

Trusted by Leading Financial Institutions

Investments Are Being Cut for the Wrong Reasons

Fund managers face strict thresholds under ESMA's guidelines on fund names using ESG or sustainability-related terms. But most datasets can’t deliver the detail needed to apply them with confidence. Without revenue-level granularity, exclusions are based on assumptions, not facts. That means compliant companies get cut, risky ones slip through, and your fund’s credibility is left exposed.
Investments Are Being Cut for the Wrong Reasons

Our Solution at a Glance

Granular Screening for Confident Fund Naming

Screen With Benchmark-Level Precision

A one-stop toolkit for applying the Paris-Aligned Benchmark/Climate Transition Benchmark exclusions:

  • Full coverage of Paris-Aligned and Climate Transition Benchmark criteria
  • Aggregated exclusion indicators for simplified decision-making
  • Criterion-level revenue breakdowns, including detailed coverage of revenues from high GHG intensity electricity generation (criterion g)
screen with benchmark-level precision

Avoid Unnecessary Exclusions in Your Portfolio

A more accurate view of what's in your portfolio—and what can stay:

  • Separate revenue mapping for oil, gas, and coal
  • Revenue granularity below 1% to support excluding for thermal coal criteria
  • Screening logic that prevents compliant holdings from being wrongly divested
avoid unnecessary exclusions

Meet the 80% Threshold With Confidence

See exactly how much of your fund meets the environmental bar:

  • Transparent metrics to support alignment with SFDR Articles 8 and 9
  • Clear view of which assets meet sustainable or ESG criteria
  • Flexible approach to the definition of Sustainable Investment to reflect your goals
meet the 80 percent threshold with confidence

What We Stand For

AI You Can Rely On. Data You Can Defend.

AI Intelligence for High-Stakes Screening

Meeting ESMA’s detailed thresholds shouldn’t slow you down. Our AI models do the heavy lifting, extracting, classifying, and validating company data to flag exposures with the accuracy regulators expect. From thermal coal to oil and gas, we go beyond generic labels, using machine learning and NLP to give you the granularity to screen with confidence and defend every decision.

Data That Defends Your Fund Line by Line

You need to justify what stays in and what gets screened out. That’s why every figure comes with source-level traceability, clear estimation logic, and methodology transparency. With coverage across 65,000+ companies and business line–level insights, you get the clarity to prove your process is compliant without overcutting your investable universe.

Beyond ESMA Naming Rules

Other EU Regulations We Support

SFDR PAIs

Easily generate both entity-level and product-level SFDR reports with our automated solution.

Sustainable Investment

Strengthen your fund’s sustainability story with clear, regulation-aligned classifications, including full Article 8 & 9 support and sustainable bonds.

MiFID II / IDD Sustainability Preferences

Engage with clients and match their sustainability preferences with your product offerings

One Solution for Every Use Case

Regulatory Compliance for All Financial Institutions

Protect Fund Credibility While Staying Invested

Avoid unnecessary exclusions and protect AUM with the granularity needed to comply with ESMA rules.

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Ensure External Managers Meet Your Standards

Get transparency into fund composition, exclusion logic, and data traceability to support oversight and accountability.

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Offer ESG and Sustainable Funds Without the Risk

Provide your clients with ESG-labeled funds that are backed by regulatory-compliant data, ensuring fund names match their holdings.

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FAQs

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  • Does your dataset distinguish between oil and gas exposures?

    Yes. We separate oil and gas revenues to help you meet ESMA requirements without overcutting. You can screen exposures by fuel type and ensure alignment with exclusion criteria while preserving compliant investments.

  • How detailed is Clarity AI’s coal revenue data?

    We provide revenue granularity below the 1% threshold required by ESMA, enabling accurate application of criterion (d) for PaB and CTB exclusions. That means you avoid blunt exclusions and only remove companies that truly exceed regulatory limits.

  • How transparent is the data used for ESMA screening?

    Every metric comes with full traceability. We indicate whether it’s reported or estimated, link back to the original source, and provide the methodology used for any imputations. So when you’re asked how decisions were made, you’ve got the answers.

  • Can the solution be integrated into our screening processes?

    Yes. Whether you need a plug-and-play interface, data feeds, or full API integration, we adapt to your existing workflow. You can apply exclusions, run scenario screens, or align funds to regulatory thresholds with minimal lift from your team.

  • Do you support similar fund labeling regimes?

    Absolutely. Our dataset is designed to support multiple labeling frameworks, including the SRI Label (France), Towards Sustainability (Belgium), FNG Siegel (Germany), and the UK SDR. Each regime comes with its own criteria, and we provide the granularity needed to meet them all from one place.

Research and Insights

Latest news and articles

AI

[Sustainability Wired] Artificial Intelligence in Finance: How Investors Are Unlocking 40% Productivity Gains

Lorenzo Saa and Neil Brown explore how the use of artificial intelligence in finance is helping investors unlock 40% productivity gains.

Biodiversity

[Sustainability Wired] Biodiversity and Investment: There’s an $8.1 Trillion Need. But Is It An Opportunity?

Lorenzo Saa and Rose Easton explore why biodiversity is rising on investor agendas—and what’s still holding capital back from flowing into nature.

Gender Equality

The Real Business Case for Diversity: Data, Decision-Making, and Competitive Advantage

Discover why real diversity goes beyond demographics and how companies can leverage it as a competitive advantage in this discussion with Clarity AI’s leaders.