Side-by-side comparison of AI visibility scores, market position, and capabilities
Strategic finance platform with automated financial modeling, dashboards, and scenario planning for SaaS and tech CFOs. San Diego CA, raised $50M+.
Mosaic Tech is a strategic finance platform purpose-built for the CFO and finance teams at SaaS and technology companies. Founded in 2019 and headquartered in San Diego, California, Mosaic has raised more than $50 million from investors including Founders Fund. The company was built by finance professionals who experienced firsthand the limitations of spreadsheet FP&A at high-growth tech companies, and designed a platform that automates the financial modeling and reporting workflows that consume disproportionate time at technology startups and scale-ups.\n\nMosaic connects to the source systems that matter for SaaS finance — including Stripe, Salesforce, QuickBooks, NetSuite, and HR platforms — and automatically builds and maintains financial models, revenue dashboards, and metric libraries without requiring manual data pulls. The platform provides out-of-the-box SaaS metrics including ARR, MRR, churn, net revenue retention, CAC, and LTV, enabling finance teams to spend more time on analysis and decision support rather than data assembly. Scenario planning and forecasting tools allow CFOs and their teams to model the financial impact of strategic decisions in real time.\n\nMosaic targets the CFO and VP Finance at venture-backed companies from Series A through pre-IPO, a segment underserved by both the simplicity of tools like QuickBooks and the complexity and cost of enterprise CPM platforms. The company competes with Cube, Runway Financial, and the lower tiers of Planful in this space, as well as with Carta and other finance tools targeting startups. Its deep SaaS metrics focus and clean product design have built Mosaic a loyal following among technology CFOs.
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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