Side-by-side comparison of AI visibility scores, market position, and capabilities
Observability pipeline platform that routes, transforms, and reduces machine data before it reaches analytics and security tools.
Cribl is a San Francisco-based data infrastructure company that provides an observability pipeline platform — a layer of software that sits between data sources (logs, metrics, traces, security events) and downstream analytics and security tools. Organizations use Cribl to filter, route, transform, enrich, and compress machine data before it reaches expensive destinations like Splunk, Elastic, or a cloud SIEM, reducing data volumes by 30-60% and significantly lowering ingestion and licensing costs. Cribl's platform also provides vendor flexibility by routing the same data to multiple destinations or migrating between analytics platforms without re-instrumenting data sources. The company's Stream and Edge products handle large-scale log pipeline management, while its Search product enables federated query across data wherever it lives. Founded in 2017 by former Splunk engineers, Cribl raised over $400M at a $3.5B valuation from investors including Sequoia Capital, CRV, and IVP. It has grown rapidly as organizations face escalating costs from observability data growth outpacing their tools' affordability.
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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