Investing in the Age of AI

Financial Risk Intelligence Powered by Extra-Financial Data

Clear signals and transparent logic for investment and market scrutiny.

Clarity AI provides asset managers with a clear view of extra-financial risk across portfolios. Using transparent methodologies and timely data, teams can assess exposure, support investment decisions, and explain outcomes to clients and investment committees.

Trusted by Leading Financial Institutions

Markets Decide Before You Can Explain

Markets and clients form views on asset managers faster than internal processes can respond. Headlines, peer comparisons, and third-party data shape perception and pricing in real time. When tools depend on opaque models or slow updates, teams are left exposed when decisions are questioned. Clarity gives investment teams a clear view of extra-financial risk and the ability to explain portfolio decisions with confidence.

An AI-Driven Risk Infrastructure for Investment Teams

Assess risk earlier. Monitor exposure continuously. Explain decisions clearly.

Reduce Manual Risk Analysis

Automate detection and assessment of extra-financial risk signals across portfolios, freeing teams from manual research and reactive workflows.

See What the Market Sees

Benchmark holdings and portfolios against peers using the same external signals shaping market perception and allocator scrutiny.

Turn Signals Into Decisions

Use AI to summarize drivers, prioritize issues, and generate clear explanations for investment, risk, and client conversations.

Stay Ahead of Emerging Events

Monitor global events in real time, assess severity, and focus attention where risk is material.

Don't take our word for it. Here's what our clients say.

“Deepening our partnership with Clarity AI is an exciting step forward for BlackRock and will provide us the ability to offer Aladdin users enterprise-level reporting for SFDR,”
Stéphane Lapiquonne
Head of Sustainability & Transition Affairs
BlackRock
Nest logo: an orange egg shape with the white lowercase word 'nest' on a white background
"We were particularly impressed with Clarity AI’s research process and the platform that allows us to customize data in accordance with different ESG risks and portfolios with different sustainability objectives."
Katharina Lindmeier
Head of Sustainability Strategy
Nest
"Clarity AI offers better data governance, transparency, and usability when compared to its peers. Lookthrough capabilities were significantly strong, allowing us to identify issues at both the fund and underlying security level, which directly improves stewardship and engagement pathways in the context of our business."
Case Study
Stewardship Report, 2025
"We chose Clarity AI due to their innovative solutions to the great challenge of how we improve and demonstrate our impact."
Neil Brown
Head of Equities
GIB Asset Management
Logo for Creand with a bold green wordmark; small black text underneath reads "Crèdit Andorrà" and includes a © symbol on the top-right of 'Creand'
"Clarity AI’s user-friendly platform allowed us to integrate ESG data seamlessly into our reporting, saving us time and ensuring compliance with regulatory requirements. The Clarity AI team has been incredibly responsive, making a real difference in our ability to improve our sustainability offerings to our clients."
Martí Alay Roquet
Director of Sustainability
Creand Crèdit Andorrà

Modular Risk Intelligence

Gain clear visibility into portfolio-level extra-financial risk using external data, transparent methodologies, and AI-driven prioritization. These capabilities help investment teams identify emerging exposures, assess materiality across holdings, and focus attention where it matters most.

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Monitor global events and incidents that signal potential extra-financial risk across portfolios. Using structured classification and severity scoring, teams can quickly evaluate relevance, understand potential exposure, and stay ahead of issues that may affect investment decisions.

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Compare portfolio exposure across strategies, mandates, and peer groups using consistent, market-aligned data. This helps teams understand relative positioning, identify outliers, and provide clear context when portfolio decisions are reviewed by clients or investment committees.

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Why Do Leading Asset Managers Choose Clarity AI?

AI That Turns Extra-Financial Data Into a Competitive Advantage

Clarity’s AI is designed to surface what matters, explain why it matters, and reduce analyst workload without sacrificing transparency. Outputs are traceable, auditable, and built for high-scrutiny environments.

Data Investors Trust, Infrastructure You Can Scale

Our data foundations are built as an infrastructure of trust. We use AI to collect, validate, and update data at scale, with human oversight where it matters most. Every data point is fully traceable, so what’s real is never in doubt. Our platform is designed to integrate seamlessly with clients’ own data lakes and proprietary datasets, enabling consistent analysis across asset classes, markets, and geographies without sacrificing control, transparency, or flexibility.

FAQs

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  • How is Clarity AI different from traditional providers?

    Traditional providers rely on static datasets, opaque methodologies, and manual processes that struggle to keep pace with a rapidly changing world. Clarity AI was built differently. We use a data-driven approach that continuously collects, validates, and updates extra-financial data at scale, transforming it into decision-useful insights for financial risk management and investment analysis. Our methodologies are transparent, explainable, and designed to stand up to scrutiny, rather than analyst opinions locked inside black-box scores. The result is a more timely, consistent, and objective view of risks, impacts, and opportunities, supporting better-informed financial decisions across downside risk management and long-term value creation.

  • How does Clarity AI ensure the objectivity of the insights?

    Clarity AI separates measurement from judgment. We provide an objective, evidence-based view of companies’, funds’, and sovereigns’ exposures and performance, using industry frameworks, transparent methodologies, and traceable data. Our platform is designed to support multiple decision frameworks — financial risk assessment, regulatory requirements, societal context, or values-based mandates — while leaving the final interpretation, thresholds, and decisions in the hands of our clients. This ensures accountability stays where it belongs: with the investor, supported by clear, consistent, and auditable data.

  • How does Clarity AI use AI?

    AI is not an add-on at Clarity AI, it is at the core. We have used AI since the beginning to power the full data lifecycle, from large-scale data collection and quality validation to classification, mapping, and insight delivery. Our models are purpose-built for investment analysis and reporting, combining automation with human oversight to ensure accuracy, explainability, and reliability. This verticalized approach allows us to scale coverage, improve consistency, and deliver forward-looking insights that traditional, manual approaches cannot without sacrificing transparency or control.

  • Who is Clarity AI designed for?

    Clarity AI is designed for asset managers, institutional investors, insurers, and banks that need robust, defensible insights to support complex investment and risk decisions. Our platform supports a wide range of users — including portfolio managers, risk teams, compliance professionals, and asset owners — across different decision layers: financial risk and return analysis, assessment of broader societal and geopolitical dynamics, and alignment with investor or beneficiary values. Regardless of the lens, Clarity AI provides the same objective, transparent data foundation. Clients define their own frameworks, priorities, and mandates, and we help them make and stand behind their decisions with confidence.

Research and Insights

Latest news and articles

AI

How AI Transforms Investment Workflows and Why Data Quality Determines Whether It Holds Up

Every AI investment workflow runs on data. The question isn't whether yours uses AI, it's whether the sustainability data underneath it is worth trusting.

Market Insights

Redefining Wealth Advice with AI: Hyper-Personalized and Sustainable

The competitive edge for wealth managers has shifted from basic ESG compliance to the AI-driven ability to translate granular climate data into clear, hyper-personalized narratives. This was a central theme at a private event hosted by Clarity AI with Infront, where sustainable investing and its intersection with AI took center stage. The interpretation hurdle: Beyond…

Regulatory Compliance

Sustainable Finance Regulation in 2026: Fragmentation, Data Gaps, and the New Reality for Investors

Are we entering a new era of pragmatic complexity, or simply losing the thread of the sustainability agenda? With this question, Lorenzo Saa, Chief Sustainability Officer at Clarity AI, opened a recent conversation with Patricia Pina, Clarity AI’s Chief Research Officer, and Cornelius Müller, Policy Officer at the Sustainable Banking Coalition. The group discussed over…