QORPUS is the integrity layer for artificial intelligence. Built by Wi Genie Ltd in London, it solves a problem that every organisation using AI will eventually face: how do you know the machine got it right?
The answer is divergence scoring. QORPUS sends every critical AI decision to four independent models simultaneously and measures how much they agree. High agreement means high confidence. Divergence means danger. It's that simple, and nothing else on the market does it.
The applications are immediate and urgent. In UK health and social care alone, safeguarding failures cost lives every year because patterns are missed, referrals are lost, and decisions are made without oversight. QORPUS catches the gaps that human systems cannot.
But this isn't just about healthcare. Any sector where AI makes consequential decisions, from finance to education, from legal to housing, needs an integrity layer. QORPUS is model-agnostic, vendor-neutral, and designed to sit between any AI system and the decisions it produces.
The team behind it brings thirty years of creative technology experience and a deep understanding of how systems fail. They've built QORPUS not as a theory, but as a working engine, validated against one hundred real-world safeguarding scenarios drawn from UK regulatory investigations.
QORPUS doesn't replace AI. It makes AI trustworthy. And in a world that's about to hand more and more decisions to machines, that might be the most important product anyone can build.