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A research programme disciplined by commercial reality.
Research driven by validated customer problems, not curiosity alone.
Every model change measured against documented baselines.
Licensed data, dataset documentation and model cards.
A strategic priority for differentiation and sovereignty.
Independent evaluation and shared benchmark work.
Capability grows only as capital, data and staff allow.
ML engineers embedded in delivery teams on customer projects.
Dedicated ML engineers for fine-tuning and evaluation.
Research scientists and data-curation specialists once the foundation exists.
A distributed-training and evaluation team only when commercially justified.
Secure AI and high-performance computing for enterprises, governments and research.