Side-by-side comparison of AI visibility scores, market position, and capabilities
San Francisco CA. Raised $250M+. Cloud software for government budgeting, permitting, and citizen services, serving 1,600+ government agencies across the US.
OpenGov is a San Francisco-based government cloud software company founded in 2012 that has raised over $250M in funding. The company provides an integrated suite of financial management, budgeting, permitting, licensing, and citizen services software to more than 1,600 local and state government agencies across the United States. OpenGov was founded on the premise that government agencies deserve modern, cloud-native software instead of legacy on-premise systems.\n\nThe platform covers the full government operations lifecycle from budget planning and financial reporting to building permits, business license issuance, and code enforcement case management. OpenGov's financial management module replaces outdated government accounting systems with a cloud-native general ledger, budget transparency tools, and performance reporting that helps governments communicate financial data to citizens and elected officials. The company acquired Cartegraph in 2021, adding asset management for government infrastructure.\n\nOpenGov targets county and city governments, special districts, and state agencies looking to modernize from legacy on-premise systems like Tyler Technologies' older products or proprietary COBOL-based accounting software. It competes with Tyler Technologies, Accela, and CivicPlus across its various product lines. OpenGov differentiates through its cloud-native architecture, its integrated platform across financial and citizen-facing services, and its strong transparency and open data features.
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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