Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered employee experience and intranet platform. Redwood City CA, raised $70M+, used by 700+ organizations to improve workforce engagement and information access.
Simpplr is an AI-powered employee experience and modern intranet platform that helps organizations create a digital headquarters for their workforce. Founded in 2014 and headquartered in Redwood City, California, the company has raised over $70 million in funding. Simpplr serves more than 700 organizations ranging from mid-market companies to large enterprises, helping internal communications and HR teams improve employee engagement, knowledge sharing, and information access.\n\nSimpplr's platform provides a personalized employee home page that surfaces relevant news, resources, and tasks based on role, department, and location. AI-powered search enables employees to find information across integrated data sources including HR systems, knowledge bases, and collaboration tools. The platform also includes employee directory capabilities, team sites, document management, and surveys for gathering workforce feedback.\n\nSimpplr has differentiated from legacy intranet vendors by prioritizing ease of administration and adoption. Its no-code site builder allows non-technical communicators to launch and maintain intranet sites without IT involvement. In 2024 and 2025, the company's AI strategy accelerated with the launch of an intelligent employee assistant capable of answering HR policy questions, surfacing personalized content recommendations, and automating routine communications workflows. Simpplr's clean UX and fast deployment model have resonated particularly with organizations replacing outdated SharePoint intranets.
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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