Real-time multi-modal model drift tracker.
Independent ground-truth validation for Large Language Models. We log hallucinations, map error-rate deltas, and publish machine-readable datasets to eliminate multi-modal fabrication.
1.2M+
Verified outputs
0.04%
Target error delta
24h
Registry update cycle
Multi-modal verification feed
Our automated pipeline continuously challenges major models against verified physical and logical ground truths. View the latest logged drift incidents below to audit multi-modal fabrication rates.
Claude 3.5 Sonnet
GPT-4o Video
Gemini 1.5 Pro
Image-to-text hallucination logged in spatial relation mapping. Target model failed to verify physical coordinate constraints.
Temporal sequencing error detected during multi-frame video synthesis. Chronological logic delta exceeded acceptable thresholds.
Textual fabrication logged during financial document analysis. Discrepancy identified via independent structured data comparison.
84.2%
Veracity Score
79.1%
Veracity Score
91.5%
Veracity Score
Cross-model error-rate delta
Compare active model drift metrics and multi-modal validation scores. Our independent registry provides unbiased performance tracking across all major LLM networks to maintain model safety.
Logical consistency drift
Spatial and audio fabrication
Tracking the decay of factual accuracy in long-context retrieval. Monitored daily against historical ground-truth baselines.
Evaluating synthetic media against physical laws, acoustic signatures, and cryptographic source metadata.
-3.4%
Avg weekly drift
+12.8%
Fabrication rate delta
Access machine-readable datasets
Integrate our live verification API directly into your evaluation pipeline to catch model drift, trace hallucinations, and secure your production outputs.