Side-by-side comparison of AI visibility scores, market position, and capabilities
NYSE-listed federal IT and electronic warfare contractor. ~$6–7B revenue; 23,000+ employees. Fastest-growing major defense prime by pivoting into EW hardware and SIGINT systems.
CACI International is a defense and federal IT company founded in 1962 and headquartered in Reston, Virginia, trading on the NYSE under ticker CACI. With annual revenues in the $6–7 billion range and over 23,000 employees, CACI is recognized as one of the fastest-growing defense prime contractors, having successfully pivoted from pure IT services into high-margin electronic warfare (EW) and signals intelligence hardware.\n\nCACi's core portfolio spans intelligence solutions, SIGINT, electronic warfare systems, C5ISR (Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance, and Reconnaissance), cloud modernization, and enterprise IT. The company's move into EW hardware has differentiated it from peers and driven above-market growth, including wins on DoD programs requiring domestically produced EW systems. CACI has bolstered its hardware and spectrum capabilities through strategic acquisitions including LGS Innovations in 2018.\n\nCACi serves customers across the military branches, intelligence community, and DHS. The company is frequently named to Washington Technology's Top 100 Government Contractors list and has a strong competitive position in contested-environment warfare systems—a direct beneficiary of DoD's increased spending on multi-domain operations and spectrum warfare.
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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