Side-by-side comparison of AI visibility scores, market position, and capabilities
Leading small FPGA and programmable logic supplier; ~$500M revenue. Nexus and Certus families power edge AI, server management, and industrial automation with ultra-low power.
Lattice Semiconductor was founded in 1983 in Hillsboro, Oregon and has established itself as the leading provider of low-power, small-footprint field-programmable gate arrays (FPGAs) and programmable logic devices. Unlike Intel (Altera) and AMD (Xilinx) which target high-performance data center and aerospace FPGAs, Lattice focuses on the power-constrained edge: server management cards, industrial automation controllers, automotive ADAS, communications, and consumer electronics.\n\nLattice's product families—including the Nexus, CertusPro, and MachXO3D platforms—are differentiated by their ultra-low power consumption (often under 1W), small package sizes, and security features. The company has aggressively pivoted toward edge AI inference, launching the sensAI solution stack that enables neural network inference on resource-constrained devices without a GPU. Its Avant FPGA family targets mid-range applications with higher density and DSP capability.\n\nLattice generated approximately $500 million in annual revenue and has seen strong adoption in server OCP (Open Compute Project) platform management controllers and server security applications. The company operates a fabless model, manufacturing at TSMC and GlobalFoundries. Lattice has benefited from the broad push to run AI inference at the network edge and in data center management chips, positioning its ultra-low-power programmable logic as infrastructure for the AI era.
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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