Side-by-side comparison of AI visibility scores, market position, and capabilities
Unity-native live game services platform for in-game commerce, content management, player data, and live operations built directly into the Unity Editor.
Beamable is a Boston-based game services company that provides a Unity-native live game services platform designed to help game studios build, operate, and monetize live-service games without leaving the Unity development environment. Beamable's integration into the Unity Editor as a package distinguishes it from generic cloud backend providers — developers configure in-game stores, manage content, run promotions, and define player segmentation directly within the tools they already use for game development. The platform covers in-game commerce and virtual item storefronts, A/B testing and player segmentation, content scheduling and live events, player inventory and economy management, announcements and notifications, and multiplayer tournament features. Beamable uses a server-side C# microservices architecture that lets developers extend platform capabilities using familiar Unity-ecosystem languages. The company targets Unity developers at small to mid-size studios building free-to-play mobile games, casual games, and mid-core titles that require live-service monetization and operations. Founded in 2019 as a spinout of a game studio, Beamable raised seed and Series A funding backed by investors including Makers Fund and BITKRAFT Ventures, competing with PlayFab (Microsoft) and GameSparks in the live game services space.
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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