Side-by-side comparison of AI visibility scores, market position, and capabilities
Data warehouse-native CDP enabling marketing teams to run campaigns and build audiences directly from Snowflake, BigQuery, or Redshift without data duplication.
Simon Data is a New York-based customer data platform company that pioneered the data warehouse-native CDP category, enabling marketing teams to build audiences and run cross-channel campaigns using data that lives in the company's existing cloud data warehouse rather than in a separate proprietary CDP data store. The platform's architecture uses the data warehouse as the system of record for customer data, querying Snowflake, BigQuery, or Redshift directly to build segments, compute attributes, and trigger campaign executions, eliminating the data ingestion pipelines, replication lag, and governance complexity associated with traditional CDPs that require moving data into a separate platform. Simon Data's visual campaign builder allows marketers to configure multi-step journeys and triggered campaigns with audience conditions that leverage the full power of warehouse data models built by data engineering teams, democratizing access to sophisticated customer data without requiring marketers to write SQL. The platform manages deliverability and execution across email, SMS, push, and paid media channels through integrations with Braze, Iterable, and other execution platforms. Simon Data serves enterprise retailers, subscription businesses, and financial services companies including Peloton, The New York Times, and jetBlue. Founded in 2014, Simon Data raised over $70M from investors including Spark Capital, RRE Ventures, and New Enterprise Associates, competing with dbt-native activation tools, Hightouch, and Census in the warehouse-native CDP space.
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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