STEP / 01
Data Exploration
WhatDataAI
Non-experts grasp data structure in minutes
How It Works
5-Step One-Stop Workflow
From data exploration to AI Q&A — 5 steps in one place. Even non-experts reach a conclusion in 5 minutes.
STEP / 02
Statistical Analysis
Regression · Classification
Regression, time-series, and classification — auto-executed
STEP / 03
Reverse What-If
★ Core
Input the goal → derive the optimal variables
STEP / 04
Auto Report
One-click Report
Decision-ready executive report, generated instantly
STEP / 05
AI Q&A
Conversational
Ask questions about results in natural language
Live Demo
One slider → five process variables reverse-solved instantly
Regression + SHAP. ChatGPT estimates; XimTier computes.
case_01 · semiconductor_defect_rate.csv · 12,480 rows
// TARGET
Target defect rate ↓
1.20%
현재 베이스라인 2.40% 대비 −50% 개선 목표
0.30%
3.00%
Reverse Algorithm
Move the slider — the optimal combination of 5 process variables to hit your target is computed instantly on the right. Regression + SHAP.
// OPTIMAL INPUTS
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Predicted accuracy 92.4% · R² = 0.887 · Inference 0.18s
⚠ Example data. Real deployments are fine-tuned on customer data.
STEP / 01
Data Exploration
WhatDataAI
Non-experts grasp data structure in minutes
STEP / 02
Statistical Analysis
Regression · Classification
Regression, time-series, and classification — auto-executed
STEP / 03
Reverse What-If
★ Core
Input the goal → derive the optimal variables
STEP / 04
Auto Report
One-click Report
Decision-ready executive report, generated instantly
STEP / 05
AI Q&A
Conversational
Ask questions about results in natural language
Frequently Asked Questions
Six questions we hear most before a XimTier rollout
Do we need to send our data outside our network?
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.
How is this different from LLMs like ChatGPT or Claude?
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.
What exactly is Reverse What-If?
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.
How long does deployment take?
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.
Can XimTier really satisfy the EU AI Act and Korea's AI Framework Act?
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.
Can non-technical users operate it?
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.