Side-by-side comparison of AI visibility scores, market position, and capabilities
Fleet electrification software for commercial EV fleet management and energy optimization. Acquired by Ford Motor Company. Powers Ford Pro Charging solutions.
Electriphi is a fleet electrification software company that was acquired by Ford Motor Company in 2021 to become the technology foundation for Ford Pro's commercial EV fleet charging solutions. Originally founded in Santa Clara, California, Electriphi built a software platform that helps commercial fleet operators plan, deploy, and manage EV charging infrastructure at their depot facilities.\n\nThe Electriphi platform provides charge management, energy optimization, and fleet intelligence tools that allow fleet managers to minimize energy costs, ensure vehicles are charged and ready for their routes, and monitor the health of both vehicles and charging equipment. The system integrates with fleet telematics and utility rate data to intelligently schedule charging during off-peak periods, reducing energy costs for large commercial fleets.\n\nAs part of Ford Pro, Electriphi's technology serves Ford's commercial van and truck customers transitioning to electric vehicles, including the F-150 Lightning Pro and E-Transit. The platform's ability to optimize charging across large depot operations — balancing vehicle readiness, energy demand, and cost — addresses one of the most operationally complex challenges in commercial fleet electrification.
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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