Side-by-side comparison of AI visibility scores, market position, and capabilities
AI investment accounting SaaS platform. $155M raised ($100M Series C). Citi and State Street strategic investors. Founded 2018, NYC/Tel Aviv. Private.
FundGuard was founded in 2018 with offices in New York and Tel Aviv, built on the premise that investment accounting infrastructure — one of the most critical and least modernized areas of financial services — needed a cloud-native, AI-powered rebuild. The company's platform targets asset managers, fund administrators, and custodians that run complex multi-asset portfolios and need real-time, accurate accounting across jurisdictions without the brittleness and cost of legacy systems.\n\nFundGuard's SaaS platform delivers investment accounting, fund administration, and reporting capabilities through a data model designed for modern portfolio complexity — supporting equities, fixed income, alternatives, and derivatives with automated reconciliation, tax lot tracking, and compliance reporting. Strategic investors Citi and State Street bring direct validation from two of the world's largest custodians, whose backing signals the platform's readiness for institutional-grade workloads.\n\nFundGuard raised $155M in total funding, including a $100M Series C, making it one of the most heavily capitalized pure-play investment accounting software companies in the market. The company is targeting the multi-trillion-dollar fund administration industry, where incumbents like SS&C and Broadridge rely on decades-old architectures. FundGuard's AI-driven automation reduces operational errors and manual reconciliation overhead, positioning it as the infrastructure layer for the next generation of asset management operations.
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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