Clarity AI vs Collibra
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered sustainability platform covering 70,000+ entities for ESG scoring, regulatory compliance (SFDR, EU Taxonomy), and impact assessment; raised Series B (Sep 2025); acquired ecolytiq for consumer climate engagement;
About
Clarity AI is a Madrid and New York-based sustainability technology company founded in 2017 by Rebeca Minguela that uses machine learning and big data to deliver comprehensive environmental and social impact assessments for investors, asset managers, corporations, and consumers. The platform covers more than 70,000 companies, funds, and governments, providing sustainability scoring, climate scenario analysis, carbon footprint calculation, ESG risk assessment, SDG alignment measurement, and regulatory compliance reporting across frameworks including SFDR, EU Taxonomy, SEC climate disclosure rules, and TCFD.
Collibra is a leading data intelligence platform providing enterprise data catalog, governance, lineage, and quality capabilities for regulated and data-driven organizations.
About
Collibra is a data intelligence platform that provides enterprise organizations with a unified environment for data catalog, data governance, data lineage, and data quality management — covering the full lifecycle of data trust from asset discovery and documentation through policy enforcement and compliance reporting. The platform's data catalog provides a searchable inventory of data assets enriched with business context — business glossary terms, data classifications, ownership assignments, and stewardship workflows — that allows data consumers to find, understand, and trust data before using it in analytics, reporting, or decision-making. Collibra's governance framework enables organizations to define data policies, assign stewardship responsibilities, manage data requests through structured workflows, and track policy compliance across the data landscape — critical capabilities for regulated industries where data handling must be documented and auditable.
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