Side-by-side comparison of AI visibility scores, market position, and capabilities
Leapsome is an AI-powered performance management and employee engagement platform used by companies including Spotify and Unity to run reviews, OKRs, and surveys.
Leapsome is a people enablement platform founded in 2016 in Berlin that provides integrated tools for performance reviews, OKR goal management, employee engagement surveys, learning pathways, and compensation management. The company serves mid-market and enterprise companies in Europe and the United States, with customers including Spotify, Unity Technologies, and Babbel. Leapsome raised $60M and has positioned its integrated platform as an alternative to stitching together separate tools for reviews, goals, and engagement. The platform uses AI to provide personalized coaching nudges, identify engagement risks from survey data, and surface performance patterns that managers can act on. Leapsome emphasizes continuous performance enablement rather than annual review cycles, helping organizations build a culture of regular feedback and development conversations. The company is recognized as a leader in the European HR technology market and competes with Lattice, Culture Amp, and 15Five in the performance management and employee engagement category. As organizations seek to tie performance management more closely to employee development and business outcomes, Leapsome's integrated approach to people enablement has resonated with companies wanting a single system for the full employee performance lifecycle.
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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