Clarity AI

What is Clarity AI

Clarity AI is an AI-powered sustainability data and analytics platform for financial institutions. It helps teams assess ESG performance, manage climate risk, and comply with evolving regulations. By aggregating, modeling, and validating company, fund, and sovereign data, it provides comparable, audit-ready metrics. With modules for portfolio screening, impact measurement, and regulatory alignment (e.g., SFDR, EU Taxonomy, CSRD, TCFD/ISSB), Clarity AI enables asset managers, banks, and wealth platforms to make informed decisions and report with confidence.

Main Features of Clarity AI

• ESG and impact data coverage: Standardized metrics for companies, funds, and sovereigns with machine learning–assisted estimates to fill disclosure gaps.
• Regulatory reporting tools: Pre-built workflows for SFDR (including PAI indicators), EU Taxonomy alignment, CSRD disclosures, and support for TCFD/ISSB frameworks.
• Climate analytics: Emissions accounting (Scopes 1–3), financed emissions, temperature alignment, and scenario analysis for transition and physical risk.
• Portfolio screening and risk management: Exclusions, controversy screening, thresholds, and watchlists to manage ESG risks across holdings.
• Fund and private asset look-through: Transparency into funds and private markets for more complete portfolio coverage.
• APIs and integrations: Data feeds and API access for embedding sustainability metrics into reporting, PMS/OMS, and client portals.
• Auditability and methodology transparency: Source traceability, documentation, and consistent methodologies to support verification.
• Custom dashboards and collaboration: Visualizations, benchmarking, and exportable reports for internal stakeholders and clients.

Who Can Use Clarity AI

Clarity AI serves asset managers, asset owners, banks, and wealth managers that need reliable ESG data, climate risk analysis, and regulatory reporting at scale. It also supports private equity teams for due diligence, wealth platforms for investor reporting and product labeling, and consultants who prepare portfolio analytics and compliance documentation.

How to Use Clarity AI

1. Define objectives: risk management, impact measurement, or regulatory reporting (SFDR, EU Taxonomy, CSRD, TCFD/ISSB).
2. Connect portfolios by uploading holdings, mapping identifiers, or integrating via API/data feed.
3. Select frameworks and metrics (e.g., PAI indicators, emissions, controversies, taxonomy alignment).
4. Run portfolio screening and climate analytics to identify gaps, hotspots, and risk exposures.
5. Benchmark against peers, targets, or thresholds and refine exclusions or engagement lists.
6. Generate dashboards and export audit-ready reports for clients, regulators, and internal committees.
7. Automate updates with scheduled data refreshes and embed metrics into downstream systems.

Clarity AI Use Cases

Investment managers use Clarity AI to classify funds, produce SFDR reports, and monitor PAI indicators. Banks assess financed emissions across loan books using PCAF-aligned methods and conduct climate scenario analysis. Wealth platforms power investor-facing sustainability scores and disclosures. Private equity teams screen targets for ESG risks and improvement plans. Public funds and sovereign investors evaluate country-level sustainability and climate resilience.

Clarity AI Pricing

Clarity AI is typically offered as a subscription with modular licensing for data coverage, analytics, and reporting capabilities. Pricing can vary by asset coverage, frameworks enabled, number of users, and API usage. Organizations usually request a tailored quote and can arrange a demo; pilot projects may be available depending on scope.

Pros and Cons of Clarity AI

FAQs about Clarity AI

• What regulations does Clarity AI support?

  It supports SFDR (including PAI), EU Taxonomy, CSRD, and climate frameworks such as TCFD/ISSB, helping teams produce consistent disclosures.

• Can I integrate Clarity AI data into my systems?

  Yes. Data feeds and APIs enable integration with reporting tools, portfolio systems, and client platforms.

• Does it cover private assets and funds?

  Clarity AI offers look-through analytics for funds and capabilities for private markets to improve portfolio coverage.

• How often are datasets updated?

  Updates are issued regularly to reflect new disclosures, methodology improvements, and regulatory changes.

• Is there a trial or demo?

  Organizations can request a demo and discuss pilot options with the Clarity AI team as part of a tailored proposal.