Research, case studies, and technical deep-dives from our work in healthcare AI, model fine-tuning, and enterprise deployment.
SIMET is being built as an operating system for medical innovation: an ecosystem where experts can develop new knowledge, structure it, and translate it into solutions that genuinely change clinical practice.
Most clinical decision support projects die as prototypes. They look good in a demo, maybe survive a pilot, then stall because no one fully trusts them, no one quite owns them, and no one can prove what they are actually doing in production.
When you work with medical data, “just call a cloud API” stops being a serious option very quickly. Privacy, regulation, cost and vendor risk all push in the same direction: more control, more locality, fewer external dependencies.