Side-by-side comparison of AI visibility scores, market position, and capabilities
GPS time tracking and scheduling app for construction and field service companies. Chico CA, raised $8M+, serves 9,500+ businesses tracking mobile and job-site workers.
ClockShark is a GPS-powered time tracking and scheduling platform purpose-built for construction and field service companies. Founded in 2014 and headquartered in Chico, California, the company has raised over $8 million in funding and serves more than 9,500 businesses. Unlike generic time tracking tools, ClockShark is designed around the realities of mobile workforces — workers spread across multiple job sites, vehicle-based travel, and the need to track time against specific jobs or cost codes.\n\nThe platform's GPS clock-in feature captures location data when workers start and stop tracking time, allowing managers to confirm workers are on site and identify discrepancies. The job scheduling module lets foremen assign workers and equipment to jobs, track progress, and monitor labor costs in real time. Time data flows into job cost reports and integrates with construction accounting platforms like QuickBooks and Sage.\n\nClockShark targets the underserved small and mid-market segment of the construction and field service industry — businesses large enough to need accountability and job costing but too small for enterprise workforce management systems. Its vertical focus on construction and field service, combined with job-centric time tracking and GPS verification, differentiates it from horizontal time tracking tools that lack industry-specific workflows.
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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