Side-by-side comparison of AI visibility scores, market position, and capabilities
Collaborative financial modeling and forecasting platform built for fast-moving startups and their CFOs. San Francisco CA, raised $30M+.
Runway Financial is a collaborative financial modeling and forecasting platform designed for startups and growth-stage companies that need sophisticated financial planning capabilities without the complexity of enterprise CPM software. Founded in 2020 and headquartered in San Francisco, California, Runway has raised more than $30 million and built a product that emphasizes the speed, flexibility, and collaborative features that fast-moving teams require when making frequent financial decisions under uncertainty.\n\nRunway's platform allows finance teams to build financial models from scratch or from templates, connect data from source systems including QuickBooks, Stripe, and Salesforce, and collaborate with executives and investors through shared dashboards and scenario views. The product is designed for transparency — giving non-finance stakeholders a clear window into financial models and forecasts — which is particularly valuable for startups where the CEO, board, and investors all need to understand runway and scenario outcomes. The platform's scenario planning capabilities allow teams to model multiple futures simultaneously and compare them visually.\n\nRunway competes with Mosaic Tech, Cube, and Causal in the modern FP&A segment targeting startups and growth companies, as well as with the lower tiers of Planful and Vena for teams considering a step up from spreadsheets. The company differentiates through its collaborative design, speed of model building, and its focus on the board communication and investor relations workflows that distinguish startup finance from corporate finance. Runway's clean, modern interface and emphasis on storytelling with financial data have earned it strong user satisfaction among early-stage CFOs and operators.
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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