HalluDX
Hallucination Diagnose
From factual verification to trustworthy intelligence
HalluDX is AIDX’s module for diagnosing hallucination risk in large language models. It identifies factual inconsistencies and unsupported claims without access to model internals, delivering transparent, auditable evidence that teams can act on.
Why it matters
Large language models can produce fluent but factually incorrect content. In high-stakes fields like finance, healthcare, or legal compliance, even a small hallucination can lead to major credibility and safety issues. HalluDX empowers teams to detect factual risks before deployment, quantify reliability across models and versions, understand root causes such as data gaps or prompt design, and support governance with evidence-linked, auditable reports.
Core Methodology
Consistency
Evaluate whether model outputs remain stable across scenarios to gauge factual reliability.
Risk Indexing
Consolidate findings into a single Hallucination Risk Index that allows fair, benchmarked comparison.
Traceability
Evidence Alignment
Review key statements for alignment with trusted or domain-relevant information.
Interpretability
Visualize results through clear, actionable insights highlighting focus areas and trends.
Maintain full transparency of data sources, evaluation settings, and result lineage for audit readiness.
High-efficiency Execution
Parallelized evaluation pipelines ensure fast, stable, and scalable testing—delivering results within minutes, setting the industry benchmark for speed and reliability.
How it works
​Workflow & Platform
Scoping & Preparation
Define the target models, data scope, and evaluation objectives, ensuring that every run starts with clear context and measurable goals.
Generation & Review
Produce model outputs under consistent settings, review them within the same interface, and capture key observations for follow-up analysis.
Reliability Consolidation
Align critical statements with supporting evidence and merge all signals into a single, interpretable reliability view with visual summaries.
Benchmarking & Exploration
Compare models or versions through Benchmark Comparison, explore where risks cluster via Risk Distribution, and identify improvement patterns over time.
Investigation & Action
Use High-Risk Claims and Question-level Insight to examine evidence in detail, capture Key Takeaways, export structured results, and feed insights directly into product reviews or governance workflows.
Why AIDX ？
Why AIDX ?
Advanced Diagnostic Intelligence
State-of-the-art reliability and factual risk assessment that turns raw outputs into dynamic, insight-driven analysis across models and domains.
Professional and Fair Evaluation
Benchmark-calibrated, normalized, and methodologically consistent results for rigorous, bias-aware, cross-model comparability.
Transparent, Audit-Ready Reporting
Full evidence and configuration lineage with visually clear summaries and exportable audit trails for governance and executive review.
Governance-Ready Reporting
Seamless connection to data pipelines and approval workflows, making reliability evaluation a continuous part of model lifecycle management.