Side-by-side comparison of AI visibility scores, market position, and capabilities
Largest EV charging network with 250,000+ charging ports globally. Campbell, CA. Publicly traded (CHPT). Serves commercial, fleet, and residential customers.
ChargePoint is the world's largest EV charging network, headquartered in Campbell, California, and publicly traded on the NYSE under the ticker CHPT. Founded in 2007, ChargePoint has built a network of over 250,000 charging ports across North America and Europe, serving commercial businesses, fleet operators, multifamily housing, and individual drivers through a software-driven charging-as-a-service model.\n\nThe company distinguishes itself by selling both the hardware (charging stations) and the cloud software that manages them, creating a recurring revenue base from network management fees and energy services. ChargePoint's fleet management capabilities are a growing business segment, enabling commercial fleet operators to manage charging schedules, energy costs, and vehicle readiness across depot and public charging locations.\n\nChargePoint has established partnerships with major automakers, real estate companies, and employers to expand its charging footprint, and it operates in over 14 countries. Its enterprise software platform allows fleet and facility managers to track utilization, manage access, and optimize charging costs at scale, positioning ChargePoint as an infrastructure and software company at the center of the fleet electrification transition.
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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