Side-by-side comparison of AI visibility scores, market position, and capabilities
CoreWeave is a GPU cloud provider valued at ~$35B (2025). Revenue estimated $2B+ in 2024. 1,500+ employees. Roseland, NJ. 95% AI revenue. Backed by NVIDIA. IPO filed March 2025.
CoreWeave was founded in 2017 in Roseland, New Jersey, initially as a cryptocurrency mining operation before pivoting in 2019 to become a specialized GPU cloud provider. The company recognized that the economics of GPU compute for AI training and inference were fundamentally different from CPU-centric general-purpose cloud workloads, and built its infrastructure from the ground up to optimize for high-density GPU clusters, low-latency networking between GPUs, and the storage throughput patterns demanded by large-scale model training.\n\nCoreWeave operates tens of thousands of NVIDIA GPUs across multiple data centers in the United States and Europe, offering on-demand and reserved GPU compute through both cloud APIs and dedicated cluster deployments. Its customers include AI labs, enterprise model developers, and inference-at-scale operators who need GPU capacity that AWS, Azure, and GCP cannot reliably provide given the GPU supply constraints facing hyperscalers. NVIDIA itself is a strategic backer, giving CoreWeave preferred access to the latest GPU hardware generations ahead of general availability.\n\nCoreWeave generated over $2B in revenue in 2024 with approximately 95% derived from AI workloads, reflecting the near-total concentration of demand around model training and inference. The company completed a Nasdaq IPO in 2025 at a valuation of approximately $35B, becoming one of the largest tech IPOs of the year. CoreWeave's position as the leading independent GPU cloud provider gives it a structural role in the AI infrastructure stack, particularly for workloads that require dedicated GPU access, custom networking configurations, or hardware not yet available from the major hyperscalers.
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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