5-Step One-Stop Workflow

No. XimTier deploys 100% on-premises by default. All training, inference, and SHAP calculations run inside your infrastructure (your own servers or VPC). Your data is never sent to XimTier-hosted cloud.

LLMs are language models; XimTier is a decision engine. LLMs cannot directly run regression, SHAP, or time-series analysis, and they give different answers to the same question. XimTier provides SHAP-based mathematical explanations and reproducible outputs, which is what regulations like the EU AI Act and Korea's AI Framework Act actually require.

Traditional What-If asks "If I change variable X, what happens to the outcome?" Reverse What-If runs the other direction: you fix the outcome first ("defect rate must reach 1.2%") and the engine finds the variable combinations that produce it.

A standard PoC takes 4–6 weeks. Week 1: data connection and schema validation. Weeks 2–3: model training and SHAP analysis. Week 4: Reverse What-If simulation. Weeks 5–6: production cutover and executive reporting.

High-risk AI must show "explainability" — mathematically demonstrating how each input variable contributed to a result. XimTier produces SHAP values along with model cards, data lineage, and decision logs in a format you can hand directly to an auditor.

Yes. XimTier is built for decision makers who do not have a data science team — plant managers, hospital directors, policy leads. The five-step workflow (data exploration → statistics → Reverse What-If → auto-report → AI Q&A) runs on one screen, and most users reach a conclusion in five minutes.