Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered truck intelligence platform using roadside sensors and satellites. $81M raised including $60M Series B; founded by ex-CIA officers; 100+ customers.
GenLogs is an AI-powered truck intelligence company founded by former CIA officers, bringing intelligence community expertise to the freight and logistics industry. The company's core technology leverages a nationwide network of roadside sensors combined with satellite data to monitor and analyze truck movements in real time, providing visibility into freight flows that was previously unavailable to the market.\n\nGenLogs' platform delivers actionable intelligence to shippers, brokers, carriers, and supply chain operators who need to understand capacity, routing patterns, and freight trends before they show up in lagging market data. By fusing physical sensor infrastructure with satellite feeds, the system builds a ground-truth picture of trucking activity across key lanes and corridors, enabling customers to make faster and more informed logistics decisions.\n\nThe company has attracted more than 100 customers and raised $81 million in total funding, including a $60 million Series B round. This capital reflects strong investor conviction in the value of persistent, sensor-derived freight intelligence as a competitive layer in a logistics market that moves trillions of dollars of goods annually. GenLogs is positioning itself as the intelligence backbone for the next generation of supply chain decision-making.
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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