Side-by-side comparison of AI visibility scores, market position, and capabilities
Open-source game server platform (Nakama) for real-time multiplayer, social features, and live game operations, deployable on any cloud or on-premises.
Heroic Labs is a London-based game infrastructure company best known for Nakama, its open-source distributed game server designed for building real-time multiplayer games, social features, and live-service game operations. Nakama provides a comprehensive set of backend primitives including real-time matchmaking and multiplayer, persistent social graphs and friend systems, in-game chat and notifications, player accounts and sessions, leaderboards, and a built-in scripting runtime for custom game logic written in Lua, TypeScript, or Go. The open-source core can be self-hosted on any cloud provider, giving studios complete control over their infrastructure and data, while Heroic Labs offers Heroic Cloud as a fully managed hosted deployment for teams that prefer not to operate their own servers. Nakama's client SDKs cover Unity, Unreal Engine, Godot, JavaScript, and multiple mobile platforms. The open-source model has driven a large community of adopters across indie, mid-market, and enterprise game studios. Heroic Labs was founded in 2015 and is backed by investors including Horizons Ventures. It competes with PlayFab, GameSparks, and LootLocker in the game backend market, differentiating through open-source transparency and self-hosting flexibility.
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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