Side-by-side comparison of AI visibility scores, market position, and capabilities
Embedded payments infrastructure platform enabling software companies to add payment acceptance and monetize transactions without building acquiring infrastructure from scratch.
Payabli is a Miami-based embedded payments infrastructure company founded in 2021 that provides vertical SaaS platforms and software businesses with the full technical and regulatory infrastructure needed to embed payment acceptance into their products and monetize transaction volume. The platform delivers card-present, card-not-present, and ACH payment acceptance alongside merchant onboarding, underwriting, and risk management — the complex payment facilitation components that software companies historically had to build themselves or outsource to a payment facilitator. Payabli operates as a technology layer on top of sponsor banks and card networks, allowing software platforms to become payment facilitators under their own brand while Payabli manages PCI compliance, fraud monitoring, and settlement operations. The company targets vertical software markets including property management, healthcare, field services, and non-profits where the platform provider has the deepest merchant relationships and is best positioned to bundle payments into the software subscription. Revenue sharing models allow Payabli's software partners to earn a percentage of processing fees on every transaction their customers complete. Payabli competes with Stripe Connect, PayFac-as-a-service providers like Infinicept, and Adyen for Platforms in the embedded payments infrastructure market.
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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