Side-by-side comparison of AI visibility scores, market position, and capabilities
Flood is a cloud-based load testing platform by Tricentis that lets teams run large-scale performance tests using JMeter, Gatling, or k6 scripts on managed infrastructure.
Flood is a cloud load testing platform, now part of the Tricentis continuous testing portfolio, that provides on-demand infrastructure for running large-scale performance and load tests using the industry-standard scripting tools that engineering teams already use — JMeter, Gatling, k6, and Selenium — without requiring teams to provision, configure, or manage the distributed infrastructure needed to generate meaningful load at scale. Many engineering teams write load test scripts but run them only locally or at low scale because setting up a distributed load generation grid is complex and expensive; Flood removes that infrastructure barrier by accepting existing scripts and executing them across its managed cloud grid, with results consolidated into a unified analytics dashboard. This bring-your-own-script model means teams do not face migration costs to adopt Flood for their existing load testing investment.
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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