The EvalEval Coalition is thrilled to share that the UK AI Security Institute (AISI) is using EvalEval's infrastructure to openly share evaluation results, supporting more reproducible and verifiable evaluation science.

AISI and EvalEval have previously collaborated on research that began at a joint workshop alongside NeurIPS 2025 , and feedback from the Institute has helped shape the Every Eval Ever (EEE) schema .

This next phase of the collaboration puts that shared infrastructure into practice.

Why reproducible evaluation reporting matters As AI deployment accelerates, evaluations are becoming increasingly important sources of evidence about model and system performance.

Yet results are reported across many formats, platforms, and outlets, often without enough information to reproduce them.

Running the evaluations again may itself be prohibitively expensive.

EvalEval's mission is to improve this ecosystem through a shared reporting schema, Every Eval Ever , and an open platform, Evaluation Cards , that brings evaluation results and the information needed to interpret them into a common structure.

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