You know the moment. The AI hands you a calculation, a report, a chart: polished, confident, formatted to the pixel. And still, something nags. You can’t quite tell if the number underneath is real, so you check it yourself. That quiet hmm, the beat of doubt before you’d act on an AI’s number, is the tax every team pays on AI today.
Ci6 Core is the engine that removes the hmm. Your AI still runs everything: the questions, the scenarios, the reports, the explanations. But the moment a number has to be right, Ci6 Core computes it from declared logic, the same way every time. Not predicted. Not assumed. Computed. AI drives. The engine governs.
So the report that looks right is right, and you never double-check to find out. Everything below is how we back it: certified, at scale, and reproducible on demand.
The Governed Statistical Processor is one of Ci6 Core's built-in capabilities, and the first we've put under independent scrutiny. Its linear-regression engine reproduces every certified value in the complete NIST Statistical Reference Datasets (StRD) suite for linear least squares, to the full precision the standards body publishes. Not trained. Not approximated. Computed, and checked against the U.S. national reference.
Read the full validation report →
Proven at scaleEvery result came back identical, run after run, under a single governance seal. The engine computes the number (it doesn't generate it the way a model would) so it can't hallucinate and it can't drift. A normal model can't promise that; ours is built so it's the only possible outcome.
Ci6 gives your models and applications a governed execution layer for critical business processes. Deploy the built-in statistical, financial, accounting, modeling, and marketing capabilities, then extend the core with components programmed for your own domain.
Discuss Enterprise LicensingThese demo domains show Ci6 applied to workflows where the answer has to hold up. In each case, the answer is produced by the engine. AI may then reason about, present, and explain the result.
The benchmark runs the same financial classification through two architectures: identical model, identical source data. The only difference is where the answer comes from.
We license Ci6 Core to a small number of teams putting AI on decisions that have to hold up. Show us a process where the answer must be defensible. We'll run it on the governed execution layer before anyone talks terms.