Side-by-side comparison of AI visibility scores, market position, and capabilities
Paris, France. ESG reporting automation platform helping companies comply with EU CSRD and SFDR regulations, with API-first data collection and reporting.
Apiday is a Paris-based ESG reporting automation platform designed to help companies navigate the complex and fast-evolving EU sustainability reporting regulatory landscape. The company focuses on automating the data collection and report generation workflows required by the EU's Corporate Sustainability Reporting Directive (CSRD) and Sustainable Finance Disclosure Regulation (SFDR), which apply to tens of thousands of European companies and financial products.\n\nThe platform provides a structured questionnaire and data collection layer aligned with the European Sustainability Reporting Standards (ESRS), guiding companies through the double materiality assessment process and collecting the specific data points required by each ESRS standard. Apiday's API-first architecture allows it to integrate with existing financial systems, HR platforms, and operational tools to automate data flows and reduce the burden on sustainability teams managing large volumes of data points required by CSRD.\n\nApiday targets mid-size to large European companies and financial institutions that face imminent CSRD or SFDR compliance obligations but lack the internal resources to manage the reporting process manually. It competes with Greenly, Plan A, and specialist CSRD tools from reporting software vendors. Apiday differentiates through its deep regulatory alignment with EU-specific frameworks and its API-centric approach that enables integration with existing enterprise data infrastructure.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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