Moveworks vs a2z Radiology AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Moveworks

GrowthArtificial Intelligence

AI IT Support

Moveworks is an AI platform that automatically resolves employee IT and HR support requests through natural language, reducing help desk ticket volume.

About

Moveworks is an enterprise AI company founded in 2016 that has raised over $315M at a $2.1B valuation to build AI-powered employee support automation. The platform uses large language models and semantic search to automatically understand and resolve employee requests in natural language across IT and HR support functions, including password resets, software provisioning, policy questions, and onboarding tasks. Moveworks integrates with enterprise systems including ServiceNow, Workday, Jira, and Microsoft 365 to take automated action on behalf of employees without human agent involvement. The company serves large enterprises across technology, healthcare, financial services, and retail, reporting resolution rates that reduce help desk ticket volume by over 40%. Moveworks was an early mover in applying language AI to enterprise workflows before the current LLM wave and has built production integrations and enterprise trust over years of deployment. The company was acquired by ServiceNow in 2025 to accelerate the integration of AI-powered service automation into the ServiceNow enterprise workflow platform.

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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

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.

About

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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