Side-by-side comparison of AI visibility scores, market position, and capabilities
MX1 launched with PCIe 6.0 + CXL 3.2. MX1S ships 2026. FMS 2025 Best of Show. Thousands of RISC-V cores inside memory for near-data AI inference — solves KV cache bottleneck.
XCENA (formerly MetisX) is developing computational memory products that place thousands of RISC-V processing cores inside a CXL-attached memory module — enabling AI inference to run where the data lives rather than requiring massive data transfers to a GPU. The MX1 computational memory product launched with PCIe 6.0 and CXL 3.2 interfaces and won Best of Show at FMS 2025, with the improved MX1S targeting a 2026 production launch.
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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