Move your AI.
Not your data.

Axonis was shaped in environments where data can't move, because regulations, security, access controls, and mission-critical systems make it impossible. While supporting AI initiatives inside defense and intelligence organizations, our team saw the same pattern repeat: The biggest barrier to effective AI wasn’t the model. It was access to the data itself.

In these environments, raw, high-value data lived in air-gapped, sovereign, or tightly controlled systems. Centralizing it is either prohibited or would have taken years — and even when possible, centralization stripped away the context and freshness needed for real AI impact. Existing federated learning tools only solve a fraction of the problem. What teams actually need is a way to work with real, production data where it already lives, without having to move it.