Unified Data Intelligence

Statistics × AI for trustworthy next-generation intelligence

UDI integrates statistical modeling, causal inference, uncertainty quantification, optimization and foundation models to deliver explainable, verifiable and deployable AI systems for real-world industrial scenarios.

Statistical inference by design
Trustworthy vertical AI
Platform + project model

AI Agent Core

reason · act · verify

Data
Knowledge
Tools
Verify

Foundation model × domain knowledge × statistical verification

Industry Challenge

The next challenge for AI is trustworthy deployment

01

Limited and complex data

Industrial data is costly, sparse, noisy and constrained, making brute-force scaling insufficient.

02

Explainability and verification

Decision scenarios require not only outputs, but also evidence, assumptions and confidence boundaries.

03

Hallucination risk

General models are powerful generators, yet professional domains need stability, traceability and reproducibility.

Statistics × AI

Recomposing AI from a statistical perspective

We embed statistical principles of samples, assumptions, causality, uncertainty and decision-making into the AI lifecycle.

Learn more

Statistical Modeling

Understand variables, sampling mechanisms, constraints and observable bias through structured models.

Causal Inference

Move beyond correlation to evaluate interventions, experiments and decisions with evidence.

Uncertainty Quantification

Provide confidence intervals, risk boundaries and anomaly signals for model outputs.

Optimization

Convert predictions into executable strategies under real-world constraints.

Foundation Model Collaboration

Use LLMs for knowledge orchestration, interactive analysis, code generation and reporting.

Industry Agents

Three paths for industrial intelligence

Domain agents that call knowledge, tools and models around real operational tasks—not generic chatbots.

Materials Science

Integrated AI platforms for experiment design, property prediction and formulation optimization.

Knowledge retrievalExperiment designProperty predictionFormulation

Intelligent Operations

Predictive maintenance, anomaly detection and operational decision optimization for production lines.

Equipment knowledgeAnomaly detectionFailure warningMaintenance planning

Flexible Manufacturing

Reliable AI for SME-specific production scenarios with limited samples and strong constraints.

Order understandingAdaptive schedulingQuality inspectionMulti-agent coordination

Every AI judgment should withstand data and domain scrutiny

We welcome industrial partners, research teams and builders to explore the frontier of statistics and AI together.

Contact