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Investing in the Age of AI

Make Impact Clear, Credible, and Actionable

Transparent, AI-Driven Solutions for Measuring Impact

Clarity AI helps financial institutions move beyond ESG claims to understand and communicate the actual outcomes of their investments. From SDG alignment to intuitive portfolio impact metrics, our tools turn complex data into clear, defensible insights

Trusted by Leading Financial Institutions

  • Santander
  • hsbc logo

Vague Impact Reporting Undermines Credibility and Trust

Clients, regulators, and society are asking tougher questions about the real-world outcomes of investments. But without standardized metrics, credible data, or flexible tools, many institutions still struggle to explain how their portfolios contribute to climate action, social progress, or the Sustainable Development Goals. The result? Reports that feel vague, unconvincing, or disconnected from actual outcomes.

Our Solutions at a Glance

Bring Clarity to Every Dimension of Impact

Make Impact Understandable

Use intuitive, real-world metrics to show clients the outcomes of their investments in terms they understand.

Demonstrate UN SDG Alignment

Align portfolios to the UN SDGs using issue-level, science-based, and revenue-linked data.

Trust the Data Behind Your Story

Access granular, transparent data with full traceability, methodology access, and coverage across 96,000+ companies.

Save Time With Scalable Reporting

Automate portfolio assessments, generate stakeholder-ready visuals, and benchmark progress in just a few clicks.

One Toolkit, Measurable Impact, Clear Outcomes

Impact Highlights

Transform impact data into reports that resonate. Benchmark performance, focus on outcomes, and communicate with clarity.

UN SDGs Alignment


Assess portfolio alignment with the UN SDGs using science-based, granular data. Built for flexibility, transparency, and impactful reporting.

Nature & Biodiversity

Identify portfolio exposure to nature-related risks, quantify biodiversity impact, and align with reporting best practices.

What We Stand For

AI You Can Rely On. Data You Can Defend.

AI That Powers Your Impact Story

AI isn’t just powering our platform—it’s reshaping how impact is measured, understood, and shared. From extracting complex sustainability data to generating intuitive, stakeholder-ready reports, our proprietary models ensure consistency, transparency, and speed. We combine smart automation with rigorous oversight to deliver insights that are clear, credible, and built to resonate. With AI-driven workflows, you can cut through complexity, track real outcomes, and tell your portfolio’s impact story with confidence.

Data That Brings Credibility to Every Report

Credibility starts with data that holds up under scrutiny. Clarity AI ensures transparency at every level, with clean, validated, and well-documented metrics you can trace back to the source. Whether you're reporting on SDG alignment or portfolio-level outcomes, you get the consistency, clarity, and confidence to communicate impact without second-guessing. No vague estimates. No hidden gaps. Just data you—and your stakeholders—can rely on.

Transparent Impact Metrics for All Financial Institutions

  • Asset Managers
  • Asset Owner
  • Wealth Managers
  • Banks

Scalable Impact Insights for Stakeholder Reporting

Clarity AI helps asset managers communicate real-world impact with intuitive metrics and SDG-aligned insights—making it easier to meet client demands, support thematic strategies, and stand out in a crowded market.

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Transparent Outcomes Aligned With Purpose and Mandate

Clarity AI equips asset owners with clear, traceable impact metrics to assess alignment with long-term goals and communicate value to beneficiaries, regulators, and internal stakeholders—without added complexity.

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Client-Ready Impact Reporting Without the Jargon

Clarity AI enables wealth managers to turn complex sustainability data into simple, relatable reports that support client conversations, strengthen trust, and personalize portfolio alignment with values.

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Clear, Credible Impact Data for Every Line of Business

Clarity AI helps banks integrate SDG alignment and portfolio impact insights across retail, corporate, and sustainable finance units—improving transparency, reducing risk, and supporting regulatory or voluntary disclosures.

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Frequently asked questions

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  • What makes Clarity AI’s impact data more credible than other providers?

    Clarity AI combines transparent methodologies, science-based frameworks, and granular data covering 96,000+ companies. Every metric is fully traceable to its source, so you can confidently back your decisions and reports with data that holds up to stakeholder and regulatory scrutiny.

  • How does Clarity AI help with SDG alignment and reporting?

    Our SDG solution goes beyond high-level labels, offering revenue-linked, issue-based insights across 2,000+ business activities. You can assess alignment at a granular level, apply custom methodologies, and generate reports that reflect real-world contribution—not just intent.

  • Can I use these impact tools across multiple portfolios or client types?

    Yes. Clarity AI’s solutions are built to support multi-asset portfolios and various reporting needs—from institutional mandates to client-facing conversations. Easily customize outputs by audience, strategy, or regulatory requirement.

  • How can I automate impact reporting with Clarity AI?

    Clarity AI makes it easy to automate impact reporting with tools that generate stakeholder-ready visuals in just a few clicks. Customize reports by audience or metric, benchmark portfolios, and access insights via API, data feed, or web app—saving hours of manual work.

  • What dataset does Clarity AI use for impact reporting?

    Clarity AI sources data from a broad range of structured and unstructured sources, applying proprietary models to validate and enrich it. All data is fully documented and auditable.

Research and Insights

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Sustainable Finance Regulation in 2026: What’s Changing, What Isn’t, and Why It Matters

Investors are navigating political recalibration, regulatory fragmentation, and growing data challenges. In 2026, questions around interoperability, SFDR, and the reliability of corporate sustainability disclosures shape investment decisions, compliance strategies, and product design. At the same time, evolving geopolitical realities are prompting a reassessment of what qualifies as sustainable investment, raising the bar for data quality,…

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The Real ROI Challenge of AI in Finance: Accuracy, Trust, and the Verification Tax

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