CODECATALYST: Railway Intelligence Platform

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Full transcript

Every railway already generates enormous data — from trains, tracks, signals, and maintenance crews working across the network every single day. But that data lives in separate departments — Engineering, Traction, Signalling, Operations — each working on different timelines, with no shared view. When maintenance windows overlap with train movements, conflicts appear. These coordination gaps cost time and create risk. CODECATALYST integrates all these data streams into one unified railway data model — without replacing or touching any existing system. The AI layer analyses this unified data to detect conflicts, predict maintenance needs, optimise block windows, and simulate what-if scenarios — then issues a clear recommendation. A human operator reviews every recommendation and chooses to approve, modify, or reject it. The AI recommends. Humans decide. Existing safety systems stay in full control.

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