Side-by-side comparison of AI visibility scores, market position, and capabilities
Compa is a compensation intelligence platform for market pricing and offer decisions, helping talent and HR teams move faster.
Compa was founded in Seattle, Washington to address a specific bottleneck in the talent acquisition process: the time it takes for recruiters to get compensation guidance for a new offer. Traditional compensation management workflows require recruiters to submit requests to a compensation team, wait for analysis, and then receive a range — a process that can take days and is a meaningful contributor to offer decline rates in competitive talent markets. Compa built an intelligence layer that surfaces real-time compensation recommendations directly in recruiter workflows.\n\nThe platform aggregates market compensation data and integrates with ATS and HRIS systems to give recruiters immediate access to benchmarked offer ranges at the point of decision, without requiring a compensation analyst to manually research each case. Compensation teams use Compa to define the rules and data sources that power recruiter-facing recommendations, maintaining oversight of offer quality while removing themselves as a bottleneck in day-to-day offer generation.\n\nCompa targets talent acquisition teams at mid-market technology companies that compete for technical and specialized talent, where offer speed and accuracy are critical to hiring outcomes. The platform occupies a distinct niche between traditional compensation management tools and ATS platforms, sitting at the intersection of compensation strategy and recruiting operations. It competes indirectly with Pave, Assemble, and Pequity while serving the recruiter persona more directly than any of those platforms.
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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