Veritell provides independent evaluation of AI behavior — helping organizations measure hallucinations, bias, safety issues, and consistency across prompts and models. We give teams the confidence to deploy AI responsibly, without requiring fine-tuning or access to model internals.
As teams adopt LLMs, they face an increasing challenge: verifying that models are accurate, safe, and aligned with internal policies. Most organizations use hosted models like GPT-4o, Claude, Gemini, or Grok — yet have no systematic way to evaluate outputs before launching AI features. Veritell fills this gap with vendor-agnostic risk scoring and actionable insights.
Veritell is designed for healthcare, finance, insurance, and other high-compliance environments where AI must be reliable, auditable, and transparent. Our evaluations align with frameworks like NIST AI RMF, SOC 2, HIPAA, HITRUST, and the EU AI Act; helping teams reduce audit friction and improve governance.
We believe AI should be measured, not trusted blindly. Evaluation should be repeatable, independent, and clear. By analyzing model outputs instead of model internals, Veritell empowers teams to validate AI behavior quickly across any vendor, any prompt, and any workflow.
Our mission is to make AI evaluation as standard as software testing. Veritell gives teams the tools they need to measure accuracy, detect risk, and deploy AI with confidence.
Veritell's evaluation framework and multi-model scoring system are currently Patent Pending.