Independent AI validation registry
We trace the precise delta between model outputs and verified ground truth. Audit, benchmark, and challenge multi-modal AI outputs to eliminate hallucinations or half-truths and track model drift.
Veracity by the numbers
10.2K
Verified data points or parameters
0.04%
Target error-rate delta
Solid 24/7
Drift monitoring
Multi-modal validation suite
Our independent registry provides continuous cross-model ground-truth verification for multi-modal AI models, helping developers benchmark accuracy and prevent critical fabrication.
Text & Logic
Image & Vision
Audio & Video
Track LLM hallucination logging and model drift across complex logical reasoning tasks with structured, machine-readable datasets.
Audit synthetic imagery against verified visual ground truths, identifying deepfakes and structural anomalies in a substantiated state.
Validate temporal consistency and audio-visual alignment, ensuring synthetic media matches authenticated source records.
Secure model integrity
Join trust and safety teams, researchers, and developers who rely on Data Kendra to audit model outputs, challenge, review and assess AI related inference(s) to maintain absolute data veracity.