Side-by-side comparison of AI visibility scores, market position, and capabilities
Customer success platform built natively on Salesforce. NYC, raised $35M+, merged with Totango in 2023 — brings Salesforce-native CS capabilities to the combined Totango-Catalyst platform.
Catalyst Software was a customer success platform built natively on the Salesforce platform, differentiating itself by operating entirely within Salesforce rather than requiring a separate CS application. Founded in 2016 and headquartered in New York City, the company raised over $35 million in funding before merging with Totango in 2023. The Salesforce-native architecture was a key differentiator for Catalyst — enabling CS teams at Salesforce-heavy organizations to manage customer success workflows without leaving the CRM environment their sales and account management teams already used.\n\nCatalyst's Salesforce-native design meant that customer health scores, playbooks, and success tasks lived directly in Salesforce objects, eliminating data sync complexity and giving CS managers access to the full breadth of Salesforce data without custom integration work. Revenue teams benefited from having CS and sales data in a single system of record, improving visibility across the full customer lifecycle and enabling more coordinated handoffs between sales and CS teams.\n\nFollowing the 2023 merger with Totango, Catalyst's technology and customer base became part of the combined Totango-Catalyst entity. The Salesforce-native approach Catalyst pioneered has influenced how the broader CS platform market thinks about CRM integration — reducing the argument for standalone CS platforms by demonstrating that deep Salesforce integration can deliver CS functionality within the CRM layer where go-to-market teams already operate.
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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