Not a database. Not a knowledge graph.

A living causal model where every signal is a node — player review, community discussion, wishlist, playtime, design decision, budget allocation, genre trend. Every relationship is causal: not "these correlate" but "this caused that (with confidence bounds)". New data strengthens existing chains. More players confirm patterns; more games enrich benchmarks; more signals improve predictions. That's why GameDataCore becomes more valuable over time. It's infrastructure, not a tool.

We don't collapse to one truth

We explicitly separate observed data, inferred patterns, and unknowns. We only elevate confidence where multiple independent signals — internal and external — align. Every output is built around decision boundaries, not dashboards: making uncertainty visible, avoiding causal overreach, and aligning player reality with internal intent. Most tools optimise for insight volume. GameDataCore optimises for decision safety.

Built for games

Decision intelligence exists in other sectors — defence, finance, compliance. GameDataCore is the first system designed to support continuous, evidence-gated decision-making across the full game development lifecycle. We combine a broader and deeper set of signals than traditional analytics or sentiment platforms, bringing together evidence from both outside and inside the studio, interpreted through well-established psychological and behavioural frameworks rather than opaque scoring systems.