Side-by-side comparison of AI visibility scores, market position, and capabilities
TriNet is a full-service PEO and HR platform for SMBs, offering payroll, benefits, risk mitigation, and compliance. NYSE: TNET.
TriNet was founded in 1988 in Dublin, California and has grown into one of the largest Professional Employer Organizations in the United States, publicly traded on the New York Stock Exchange under the ticker TNET with annual revenues exceeding $500M. The company serves small and medium-sized businesses across multiple industries, co-employing hundreds of thousands of workers and enabling SMBs to access enterprise-grade benefits, HR expertise, and employment risk management through a single provider.\n\nThe TriNet platform provides payroll processing, benefits administration, time and attendance tracking, performance management tools, and HR advisory services. TriNet has built vertical-specific HR solutions for industries including technology, professional services, financial services, retail, and nonprofits, with benefit packages and compliance support tailored to the specific workforce needs and regulatory environments of each sector.\n\nTriNet expanded its portfolio through strategic acquisitions, including the purchase of Zenefits in 2022, which added a modern SMB HR software product to its PEO offerings and brought significant additional technology talent and customer relationships into the company. TriNet competes against Paychex, ADP TotalSource, and Justworks in the PEO market, leveraging its scale, industry specialization, and breadth of HR services as key differentiators.
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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