Clarity AI

Turn complex extra-financial data into trusted insights that help customers assess risk, impact, and opportunity and make decisions efficiently at scale.

Identify, assess, and monitor ESG risks with transparent insights that support clearer portfolio decisions and more confident risk management.

Helps financial institutions measure climate exposure, assess transition readiness, analyze future risks, and produce transparent, standards-aligned disclosures.

Measure investment outcomes and communicate credible, understandable impact with transparent data, SDG insights, and scalable reporting.

Automate regulatory reporting, reduce manual work, and produce transparent, audit-ready disclosures as requirements evolve.

Automates extra-financial data and reporting while helping teams identify risks, understand performance, and turn sustainability insights into strategic action.

Help banks build customer loyalty, deepen digital engagement, and uncover revenue opportunities while enabling customers to understand and reduce their environmental footprints.

Preview potential SFDR 2.0 fund categories and eligibility to prepare strategy for proposed regulatory changes.

Clarity AI platform

Clarity AI is an AI-native, modular platform that transforms complex extra-financial data into decision-grade insights for financial institutions, companies, governments, and consumers. It provides data solutions, analytics, apps, and integrations for assessing risk, impact, and opportunity, and for analysis and reporting. The platform supports custom methodologies and workflows through a web app, AI agents, MCPs, APIs, and datafeeds. AI-powered processing and expert oversight support transparent, traceable, quality-controlled information that can adapt as market and regulatory needs evolve.

• Turn Complex Data Into Decision-Grade Insights
  Use AI-powered analysis to assess risk, impact, and opportunity and inform decisions.
• Verify Data Sources And Methodologies
  Access documented data traceable to its source to explain and support analysis and reporting.
• Adapt Analysis To Your Needs
  Apply client methodologies or evidence-based insights and configure workflows for analysis and reporting requirements.
• Accelerate Analysis And Reporting
  Automate workflows and generate reporting outputs with less manual effort.
• Streamline Regulatory Compliance
  Use framework-aligned data and reporting workflows to address disclosure requirements and produce audit-ready outputs.
• Assess Portfolio Risks And Impact
  Monitor extra-financial factors across portfolios and securities to assess risk, impact, and opportunity.
• Assess More Assets And Portfolios
  Use extra-financial information across a broad and expanding range of assets and portfolios.
• Connect Insights To Existing Workflows
  Access insights through multiple delivery options and integrate them into existing workflows and systems.
• Keep Insights Current As Needs Change
  Receive insights refined as data, market conditions, and regulatory requirements evolve.
• Combine AI With Expert Oversight
  Pair AI-powered processing with domain expertise and validation for consistent, explainable analysis at scale.
• Scale Capabilities Across Use Cases
  Extend capabilities across workflows using a modular, scalable technology foundation.

ESG Risk

ESG Risk helps financial institutions identify and assess environmental, social, and governance risks using AI-powered ratings, controversy monitoring, and exposure analysis. It turns structured and unstructured data into explainable, traceable insights for company and portfolio analysis. Users can apply tailored ESG ratings and exclusion criteria, monitor emerging issues, and view risk through dashboards and reporting tools. The solution supports risk assessment across investment and lending workflows, with data and methodologies designed to be transparent and ready for review.

• Tailor ESG Ratings To Your Strategy
  Apply industry-aligned or customized ratings using relevant topics and weighting, with traceable inputs and documented logic.
• Detect And Prioritize Emerging Controversies
  Receive signals about ESG events with severity ratings and summaries to help track developing risks.
• Apply Defensible Exclusions Across Portfolios
  Set screening rules and apply granular involvement data and thresholds to support consistent, explainable exclusions.
• Surface Relevant ESG Risk Signals
  Review large volumes of information and identify signals related to ESG ratings, controversies, and exposures.
• Support Decisions With Traceable Evidence
  Review sources and methodologies behind risk signals to explain assessments in reports and reviews.
• View And Communicate Portfolio Risk
  Review ESG risk through portfolio and mandate-level views and communicate findings with customizable reports.
• Assess Credit Risk And Stress-Test Portfolios
  Use ESG, climate, and nature-related insights to assess exposures and support credit risk reviews and portfolio stress testing.
• Integrate ESG Insights Into Existing Workflows
  Access ESG risk information through dashboards, APIs, or third-party integrations.

Climate intelligence

Clarity AI’s climate intelligence solution helps financial institutions assess climate risk across financed emissions, company transition readiness, climate scenarios, physical asset exposure, and nature-related risks. It combines AI-powered data processing with science-based metrics and transparent, documented methodologies to support investment decisions and climate reporting. Tools include carbon footprint measurement, transition assessment, scenario analysis, physical risk analysis, and automated TCFD reporting.

• Measure Financed Emissions
  Assess portfolio footprints, compare performance, and support target-setting and reporting with emissions data and transparent estimates.
• Assess Transition Readiness
  Evaluate alignment with Net Zero goals using targets, emissions trajectories, transition plans, and other indicators.
• Analyze Climate Scenarios
  Explore climate pathways and time horizons to understand risk drivers, potential financial impacts, and resilience gaps.
• Pinpoint Physical Risk Exposure
  Identify assets and hazards driving exposure and trace results from assets through companies, funds, or portfolios.
• Automate Climate Reporting
  Create climate disclosures with less manual data collection and spreadsheet compilation, selecting metrics and formats for stakeholders.
• Process Climate Data At Scale
  Handle data from diverse sources, fill disclosure gaps, and turn complex company information into usable climate insights.
• Benchmark Emissions Performance
  Compare portfolio and issuer emissions with peers and benchmarks, review trends, and identify major contributors to portfolio footprints.
• Assess Nature-Related Impacts
  Review nature-related portfolio risks, measure biodiversity impacts, and support nature-focused decisions and disclosures.
• Trace Climate Data Sources
  Review sources, methods, and assumptions behind climate metrics to support scrutiny and defensible disclosures.
• Integrate Climate Data
  Access climate analysis through the web app or integrate data into existing systems using API and data feed options.

Impact solution

Clarity AI’s impact solution helps financial institutions measure and communicate the real-world outcomes of investments. It provides portfolio impact metrics, science-based analysis of alignment with the UN Sustainable Development Goals, and granular, traceable data. Its capabilities include Impact Highlights for client-ready reports, benchmarking, relatable portfolio metrics, and customized reporting, as well as UN SDGs Alignment for granular revenue, business activity, and operations analysis. AI-driven workflows support portfolio assessment and stakeholder-ready reporting.

• Identify Alignment Across Business Activities
  Review revenue and business-line alignment with detail to examine what contributes to portfolio alignment.
• Explain Investment Outcomes Clearly
  Translate portfolio results into understandable measures and real-world equivalents so stakeholders can understand investment outcomes.
• Demonstrate Evidence-Based SDG Alignment
  Show investment alignment using evidence about business activities, revenue, operations, issues, and geographies.
• Support Claims With Traceable Data
  Review sources, methodology, and context behind impact metrics to support documented decisions and reporting.
• Compare Alignment Across Companies And Sectors
  Use broad company and sub-industry coverage to compare alignment across portfolios and sectors.
• Create Stakeholder-Ready Reports Faster
  Generate clear, customizable impact visuals and reports with less manual work.
• Turn Complex Data Into Clear Insights
  Process and validate sustainability information and present impact insights in clear, consistent formats.
• Track Alignment Trends Over Time
  Review historical revenue alignment data to track trends and performance.
• Screen Against Global Business Norms
  Identify and assess potential violations of UN Global Compact and OECD guidelines.
• Support Sustainable Investment Disclosures
  Use SDG alignment data to support identified disclosures and communicate how strategies relate to real-world outcomes.
• Compare Portfolio Impact Performance
  Put portfolio outcomes in context by comparing performance with selected indexes and other portfolios.
• Review Company And Peer Insights
  Get AI-generated summaries of company performance and peer comparisons.
• Deliver Insights Across Workflows
  Use API, data feed, or web app access for different portfolio workflows and reporting needs.

Clarity AI Regulatory Compliance Solution

Clarity AI helps financial institutions streamline sustainability and financial disclosure compliance with automated, audit-ready reporting tools. Its regulatory-specific solutions support frameworks including SFDR, EU Taxonomy, Pillar 3, MiFID II, and IDD, with tools for sustainable investment, Principal Adverse Impacts, and sustainability preference matching. The solution includes SFDR PAI reporting, MiFID II / IDD Sustainability Preferences, and Sustainable Investment capabilities. AI models extract, analyze, and validate data with expert oversight and transparent methodologies. Reports and workflows adapt as regulations evolve, and data is documented and traceable to sources.

• Automate Reporting From Data To Disclosure
  Reduce manual reporting effort and produce regulatory disclosures more efficiently, including pre-filled SFDR and PAI outputs.
• Trace Every Metric To Its Source
  Source-linked data and transparent methodology help teams explain and substantiate reported figures to stakeholders, auditors, and regulators.
• Match Products To Client Preferences
  Identify products corresponding to expressed preferences and support recommendations that reflect those preferences.
• Tailor Sustainable Investment Criteria
  Set criteria to reflect internal guidelines and sustainability goals or use the default Article 2(17)-aligned methodology.
• Monitor Portfolio Alignment And Misalignment
  Track sustainable investment performance, support classifications, and identify potential misalignment.
• Address Multiple Regulatory Frameworks
  Access tools for several sustainability and financial disclosure frameworks through one compliance solution.
• Adapt Reporting To Regulatory Changes
  Updated tools and models help keep reporting and suitability workflows aligned with evolving requirements.
• Explain PAI Performance And Breaches
  Review PAI performance and breach explanations to support transparent and defensible disclosures.
• Document And Justify Product Matches
  Review the evidence and logic behind recommendations for internal controls and compliance reviews.
• Prepare Audit-Ready SFDR Outputs
  Support regulatory reporting with consistent classifications, transparent methodologies, and documented metrics.
• Process And Validate Data At Scale
  AI processing and expert oversight reduce manual data handling while supporting consistent compliance outputs.
• Streamline Compliance Across Teams
  Automated processes help coordinate compliance work and reduce repetitive tasks.
• Generate Pre-Filled Regulatory Reports
  Prepare framework-specific disclosures with less manual data collection and formatting.
• Classify Products Across Asset Classes
  Use product classifications and sustainability metrics across funds, equities, and fixed-income products.
• Assess Sustainable Bonds
  Review issuer and instrument alignment using revenue- and proceeds-based data.
• Integrate Compliance Into Existing Workflows
  Use flexible delivery options to incorporate compliance data and tools into existing systems and processes.

Extra-Financial Intelligence Management Platform

An AI-driven platform that helps companies manage sustainability and other extra-financial topics through automated data collection, operational workflows, investor-grade insights, and reporting. Teams can collect, validate, and centralize data, benchmark company performance against global peers, interpret results with a plain-language AI copilot, and monitor sustainability-related incidents. Its modular design supports integration with existing systems and lets companies use the components they need.

• Automate Data Collection And Validation
  Bring extra-financial data together in one place and reduce manual work through AI-powered collection and validation.
• Turn Results Into Clear Insights
  Make sustainability results easier to interpret and identify risks and opportunities.
• Assess Sustainability Performance Transparently
  Review company performance with investor-aligned scores and visibility into underlying data and methodology.
• Compare Performance With Global Peers
  Benchmark against global companies to identify performance gaps and strengths.
• Detect And Prioritize Sustainability Incidents
  Monitor incidents and use severity scores and classifications to prioritize relevant issues.
• Streamline Extra-Financial Reporting
  Improve reporting workflow efficiency and reduce time spent on manual tasks.
• Integrate Tools Into Existing Workflows
  Fit the platform to existing systems and workflows or select components suited to company needs.

Clarity AI Retail Banking Sustainability Solution

Clarity AI’s retail banking sustainability solution embeds a climate engagement journey into banking apps, guiding customers from awareness to action. It calculates transaction-level carbon and water footprints using localized merchant and country data, and provides personalized climate insights, lifestyle tips, and incentives. Banks can connect these insights to green loans, donations, and carbon credits, while using customer behavior and preference data to support segmentation and personalized experiences. The solution uses an open-source carbon calculation methodology and is ISAE 3000 certified.

• Turn Banking Interactions Into Engagement
  Bring sustainability into everyday banking interactions to support engagement and customer relationships.
• Show Transaction-Level Environmental Impacts
  Give customers visibility into the carbon and water footprint associated with purchases using localized calculations.
• Connect Climate Insights To Financial Actions
  Help customers act on sustainability insights through green loans, carbon credits, and donations.
• Personalize Footprints With User Feedback
  Allow customers to adjust footprint estimates using information about behavior and lifestyle.
• Guide Customers Toward Lower-Impact Choices
  Offer relevant recommendations and educational content to help customers identify ways to reduce their footprint.
• Improve Segmentation And Personalization
  Use customer behavior and preference data to understand users and tailor experiences.
• Promote Products That Match Customer Values
  Present green financial products in connection with customer sustainability interests.
• Deliver Relevant And Transparent Insights
  Ground calculations in localized data and provide an open-source methodology.
• Reward Climate-Positive Spending
  Use incentives to encourage climate-positive spending and engagement with sustainability features.

SFDR 2.0 Check

SFDR 2.0 Check is a simulator that provides an instant preview of how a fund could be categorized under the European Commission’s proposed SFDR 2.0 product categories. Users enter a fund ISIN to assess potential eligibility and understand how the proposed rules may affect their fund strategy. Results are based on the Commission’s November 2025 proposal, and the live tool will evolve as EU discussions and guidance develop.

• Preview Potential Fund Categories
  Get an indication of how a fund could be categorized and whether it may be eligible under proposed SFDR 2.0 categories.
• Assess Potential Strategy Impacts
  Explore potential effects of proposed rules on a fund strategy and support early preparation.
• Track Evolving Proposal Guidance
  Use analysis based on the Commission proposal that is intended to evolve as discussions and guidance develop.