Side-by-side comparison of AI visibility scores, market position, and capabilities
Mid-size semiconductor test handler and contactor specialist; ~$500M revenue. ABTS and Neon thermal test handler platforms serve mobility, automotive, and data center SoC testing.
Cohu Inc. was founded in 1947 in Poway, California and has grown into a leading mid-size provider of semiconductor test equipment through organic development and acquisitions. The company focuses on test handlers (which position chips in automated test systems), contactors (which make electrical contact between chips and test sockets), thermal management during test, and integrated test cell solutions. Cohu is a complement to ATE vendors like Teradyne and Advantest, providing the mechanical handling infrastructure that feeds chips into testers at high volume.\n\nCohu's product portfolio includes the ABTS (Automated Burn-in and Test System) platform, the Neon thermal handler for extreme temperature testing (-55°C to +165°C), and a comprehensive contactor library for BGA, QFP, and advanced packaging formats. Key served markets include automotive (ADAS, power management), mobility (smartphone application processors, modem chips), and data center (SoC, memory interface). Automotive reliability testing is a major growth driver, as automotive-grade chips require extensive burn-in and temperature cycling per AEC-Q100 standards.\n\nCohu acquired Xcerra in 2018 to significantly expand its handler product line and global service network. The company reported approximately $500 million in revenue, with margins impacted by semiconductor capital equipment cycles. As automotive electrification and ADAS content per vehicle grow, Cohu's thermal test handler business is expected to see sustained demand growth.
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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