Clarity AI provides sustainability and impact analytics for portfolios, products, and companies. It aggregates disclosures and alternative data to score environmental, social, and governance factors, then explains drivers behind the rating. Investors and brands compare options, model improvements, and generate reports that meet evolving regulations and client expectations. Coverage spans global issuers and private firms, helping teams evaluate supply chains and new markets using one consistent.
Combine company disclosures with third‑party sources to build a consistent, comparable view of ESG performance. Normalization handles varying cadences and missing fields, reducing manual cleanup. Attribution shows which datapoints influenced a score so analysts can trace changes and validate assumptions quickly. Sector‑specific models emphasize material factors so comparisons reflect real risk rather than generic checklists Short setup notes clarify typical configurations and edge conditions for reliable daily use.
Translate activities into impact aligned with SDGs, emissions trajectories, or temperature pathways. Scenario tools estimate how improvements—like energy mix shifts—affect portfolio alignment. Outputs summarize exposure to sensitive sectors and highlight hotspots where engagement could move the needle. Rollups by benchmark, mandate, or geography match client and regulatory scopes for clear comparisons Short setup notes clarify typical configurations and edge conditions for reliable daily use.
Generate auditable reports for frameworks such as SFDR, CSRD, or TCFD with transparent sources and assumptions. Templates adapt to jurisdictional requirements while keeping one underlying dataset. Version control preserves prior filings so updates are traceable and cross‑team reviews stay efficient. Guidance aligns qualitative commentary with metrics so filing packages remain consistent across quarters Short setup notes clarify typical configurations and edge conditions for reliable daily use.
Screen holdings against exclusions, controversies, or thresholds, then analyze drivers of score dispersion. Decomposition views reveal which issuers and factors contribute most to risk and alignment. Analysts can test tilts and reweighting to weigh impact targets against performance tradeoffs. Saved views make recurring reviews faster and keep decisions comparable from quarter to quarter Short setup notes clarify typical configurations and edge conditions for reliable daily use.
Access datasets via APIs or bulk exports to feed research tools and dashboards. Data dictionaries, timestamps, and audit trails support diligence and model validation. Permissions ensure teams use consistent definitions as coverage expands and methods evolve. Sandboxed environments let quants test ideas without affecting the governed production dataset Short setup notes clarify typical configurations and edge conditions for reliable daily use.
Recommended for asset managers, banks, and corporate sustainability teams that need defensible ESG and impact analytics. Clarity AI supports portfolio alignment checks, engagement targeting, and client reporting with transparent methods and broad coverage. Consultants and rating teams can reuse templates across mandates while tailoring narrative to each audience Short setup notes clarify typical configurations and edge conditions for reliable daily use.
ESG data is fragmented, inconsistent, and often late. Clarity AI unifies disclosures and alternative signals into a governed model that explains score movement and impact alignment. Teams deliver credible reports faster and focus engagement where evidence shows the most leverage. The outcome is fewer reconciliations, clearer decisions, and tighter compliance across jurisdictions Short setup notes clarify typical configurations and edge conditions for reliable daily use.
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