Limited and complex data
Industrial data is costly, sparse, noisy and constrained, making brute-force scaling insufficient.
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.
AI Agent Core
reason · act · verify
Foundation model × domain knowledge × statistical verification
Industry Challenge
Industrial data is costly, sparse, noisy and constrained, making brute-force scaling insufficient.
Decision scenarios require not only outputs, but also evidence, assumptions and confidence boundaries.
General models are powerful generators, yet professional domains need stability, traceability and reproducibility.
Statistics × AI
We embed statistical principles of samples, assumptions, causality, uncertainty and decision-making into the AI lifecycle.
Understand variables, sampling mechanisms, constraints and observable bias through structured models.
Move beyond correlation to evaluate interventions, experiments and decisions with evidence.
Provide confidence intervals, risk boundaries and anomaly signals for model outputs.
Convert predictions into executable strategies under real-world constraints.
Use LLMs for knowledge orchestration, interactive analysis, code generation and reporting.
AI Platforms
Large-model agents for interaction and reasoning, grounded by statistical methods, knowledge and executable tools.

An end-to-end intelligent workflow for requirement understanding, data diagnostics, method recommendation, code execution and report generation.

A customized statistical analysis workbench that connects code, data, diagnostics and reports for analysts.
Industry Agents
Domain agents that call knowledge, tools and models around real operational tasks—not generic chatbots.

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

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

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

From July 11 to 13, 2026, the UDI team attended the 4th Joint Conference on Statistics and Data Science and IMS China Biennial Meeting in Guiyang.
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When scaling laws meet limited data and reliability requirements, statistics becomes a foundation for deployable AI.
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From data profiling to model diagnostics and reporting, StatIDE makes statistical analysis more standardized and reproducible.
ReadWe welcome industrial partners, research teams and builders to explore the frontier of statistics and AI together.
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