AI decisions
that pass an audit.
The explainable decision engine for the EU AI Act and Korea AI Framework era. Not another LLM wrapper. Not another regression report. — Reverse What-If solves the math of every decision.
In 2026, explainability becomes mandatory.
On August 2, 2026, the EU AI Act takes full effect — fines up to €35,000,000 or 7% of global revenue. Korea's AI Framework Act starts on January 22, 2026, requiring every organization to establish an "AI explanation method" and retain reliability and safety records for five years. From that day on, "the AI said so" no longer passes an audit.
ChatGPT, Claude, and Gemini can't solve 3 things enterprises need
The first wave of LLM adoption is over. "Plausible-sounding answers" don't drive real decisions — enterprises are waking up.
Problem 1
Data Sovereignty — internal data can't go to LLMs
Samsung, Hyundai, and LG have banned internal use of ChatGPT. Healthcare, finance, and the public sector treat LLM use itself as a regulatory violation. OpenAI sells on-prem, but not at a price or complexity SMEs can absorb.
"No decision-maker is going to send Samsung's wafer-defect data to OpenAI's servers."
Problem 2
Numeric Limits — LLMs describe statistics, they don't compute them
The Transformer is a next-token predictor. It does not mathematically guarantee regression coefficients, SHAP values, or Reverse What-If optimizations. It outputs "plausible numbers".
"When an LLM produces an answer, it's a guess, not a calculation. You don't stop a factory line on a guess."
Problem 3
Regulatory Duty — EU AI Act and Korea's AI Framework Act codify explainable AI
Medical diagnosis, credit scoring, and public-policy decisions now legally require XAI. LLM black boxes can't pass. SHAP-based mathematical justification is mandatory.
"EU AI Act takes effect in 2026 — high-risk AI must mathematically justify each decision."
LLMs and XimTier do different jobs — together they're complete
If ChatGPT explains, XimTier proves. LLM language + XimTier computation = real decision AI.
"ChatGPT presents in the meeting. XimTier produces the answer before the meeting."
Data Exploration
Non-experts grasp data structure in minutes
Statistical Analysis
Regression, time-series, and classification — auto-executed
Reverse What-If
Input the goal → derive the optimal variables
Auto Report
Decision-ready executive report, generated instantly
AI Q&A
Ask questions about results in natural language
$17B → $81B — the Post-LLM Decision Intelligence market
As the first LLM-adoption wave ends, enterprises are looking for AI that actually answers. That's the second wave.
Two-sided competition — three intersections form our moat
Attacked from both legacy analytics and big-tech LLMs, but at the intersection of "data sovereignty × regulated industries × Reverse What-If," neither side can enter.
Data Sovereignty
A fundamental fact that enterprises can't upload data to external LLMs. An unchanging market.
Regulated Industries
EU AI Act, Korea AI Framework Act. XAI mandates in healthcare, finance, and public sector.
Reverse What-If
Transformers cannot mathematically guarantee optimization problems. Unreachable unless big-tech abandons LLMs.
"Fight on the generic-analytics layer and big-tech wins. Our moat exists only where big-tech can't enter — three intersections."