Side-by-side comparison of AI visibility scores, market position, and capabilities
Soda provides a data quality platform with a DSL for writing data checks that run in the data warehouse, enabling both technical and business teams to define and monitor data quality.
Soda is a data quality company founded in 2017 in Ghent, Belgium that has raised $76M to build a data quality platform that makes testing and monitoring accessible to both engineers and business stakeholders. The company's Soda Checks Language (SoCL) provides a human-readable syntax for defining data quality checks that execute directly within the data warehouse using SQL, avoiding data movement overhead. The platform allows data engineers to embed quality checks in dbt transformations and Airflow pipelines while giving data analysts and business users a no-code interface to define their own checks for business-critical metrics. Soda integrates with major warehouses and observability tools and provides a collaborative interface for tracking data quality across teams. The company targets the full organizational data quality problem rather than just technical monitoring, helping organizations create a shared understanding of data quality standards between technical and business teams. Soda's European heritage and strong data governance focus make it particularly popular with companies in regulated industries and with those navigating GDPR compliance requirements.
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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