Getgud.io gives game teams a complete, replayable picture of what happens inside every match. Rather than relying on player reports or sampled telemetry, it streams high-frequency gameplay data — positions, kills, interactions, events and timelines — into a structured model of the match that analysts can explore with maps, heatmaps and frame-by-frame replay.
On top of that foundation, Getgud layers detection and intelligence. Trust-and-safety teams use it to catch cheaters, griefers and toxic actors and act before problems spread, while QA, design and LiveOps teams replay exact sessions to reproduce bugs, validate balance across weapons, characters and maps, and measure engagement and retention drivers.
Getgud also positions itself as a data layer for AI agents, exposing gameplay context through an MCP server so assistants can query matches, analyse player behaviour and answer complex questions grounded in real evidence. Studios keep control over what is streamed, stored and retained, and the platform is designed to be integrated without meaningful client or server performance impact.
