Bother – model your project as it exists in reality

Multi-factor equity risk model with classic factors, semantic LLM exposures, and residual factor discovery.

model-due-diligence is not a model safety verifier. It is a static evidence-gathering control for AI model supply-chain review. It supports provenance, artefact integrity, unsafe serialisation detection, secret exposure checks, suspicious code review, dependency risk detection, and audit reporting before first model execution.

A sourced model and short report: can Europe train a sovereign frontier AI model on the public compute it already owns, while gigawatt datacenters wait years for grid power?

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