Side-by-side comparison of AI visibility scores, market position, and capabilities
World's largest probe card maker; ~$850M revenue. MEMS-based and cantilever probe cards are essential for wafer-level electrical test before dicing for advanced SoCs and memory.
FormFactor was founded in 1993 in Livermore, California and has grown into the world's largest manufacturer of probe cards—precision electromechanical assemblies that contact wafer-level die during semiconductor manufacturing to perform electrical parametric and functional tests before the wafer is diced. Probe cards are a consumable in semiconductor production: each card handles millions of probe contacts before being replaced, creating a recurring revenue model.\n\nFormFactor serves foundries (TSMC, Samsung), IDMs (Intel, Samsung, Micron), and memory manufacturers (Hynix, NAND makers) with MEMS-based probe cards for leading-edge SoC and logic testing, high-density cantilever cards for memory testing, and vertical probe cards for high-power devices. As chips shrink to 3nm and 2nm nodes with tighter pad pitches and as 3D chiplet architectures multiply the number of electrical connections to test, probe card complexity and average selling prices are increasing.\n\nFormFactor reported approximately $850 million in annual revenue and benefits from the same AI chip investment cycle as Teradyne: AI GPU wafers (NVIDIA H100/H200/B200) require advanced probe cards for wafer sort. The company also provides systems for failure analysis and materials characterization through its Systems division. FormFactor's strong market position in advanced logic probe cards makes it a direct proxy for leading-edge semiconductor manufacturing volume.
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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