Side-by-side comparison of AI visibility scores, market position, and capabilities
Assemble is a compensation management and pay transparency platform for HR and finance teams, raised $30M+ in San Francisco.
Assemble was founded in 2021 in San Francisco and raised over $30M to build a compensation management platform focused on bringing structure and transparency to how companies design, communicate, and execute their compensation programs. The company was founded by executives who saw firsthand how ad hoc and opaque compensation decisions create employee trust issues, retention problems, and legal risk, and built Assemble as the system of record for compensation strategy.\n\nThe platform provides tools for building and managing compensation bands, modeling the cost impact of compensation changes, running calibration processes aligned to performance cycles, and generating pay statements and total compensation letters that help employees understand the full value of their packages. Assemble integrates with HRIS systems and ATS platforms to pull the data needed for compensation decisions automatically, reducing the spreadsheet dependency that characterizes most mid-market compensation operations.\n\nAssemble targets mid-market and growth-stage technology companies that are scaling past the point where spreadsheet-based compensation management is viable but are not yet ready for the complexity and cost of enterprise compensation suites. The platform competes with Pequity, Pave, and TeamOhana in the emerging compensation management space, differentiating through its strong pay transparency features and its focus on helping companies communicate compensation decisions clearly to employees.
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.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.