Trust your AI. For real.
Large language models don’t always tell the truth. Veritell evaluates AI outputs for bias, hallucination, and safety risk — with audit-ready evidence you can trust.
Run evaluations in the UI, or integrate them into your pipeline with the API.
Why teams choose Veritell
🟢 Bias
Keep AI fair and compliant. Detect stereotypes or unfair assumptions in model output and align it with your ethical standards. Use the same checks in UI or automate them in your release pipeline.
🔵 Hallucination
Know when your AI makes things up. Identify false or unsupported claims and prevent misinformation from reaching your users. Catch regressions early by running evaluations in CI before production.
🛡️ Safety
Protect your users and your brand. Detect risky or policy-violating content before it causes harm. Stay in control of your AI. Enforce policy gates programmatically — not just during manual testing.
How Veritell works
- Choose your workflow: run evaluations in the UI or call the API from your app or pipeline.
- Score consistently: Veritell evaluates hallucination, bias, and safety on a consistent 1–5 scale with rationale.
- Prove it: export structured JSON and evidence for governance, QA, and audit reporting.
Why Enterprises Trust Veritell
Large-scale AI deployments require clarity, safety, and control. Veritell helps organizations evaluate and govern AI behavior with precision — without slowing innovation.
Reduce AI Operational Risk
Identify hallucinations, unsafe patterns, and biased responses before AI impacts users or production systems.
Meet Regulatory Expectations
Stay ahead of evolving AI governance — including EU AI Act, FTC guidance, and internal model risk frameworks.
Standardize AI Quality
Give engineering, QA, and compliance teams a shared scoring system for bias, hallucination, and safety — consistent across all models.
Benchmark Models Reliably
Compare LLMs and choose the safest option with side-by-side evaluations using a single, unified framework.
Improve Cross-Team Alignment
Give product, engineering, risk, and executive teams a shared language for evaluating and approving AI use cases.
Audit-Ready Documentation
Produce structured evidence and evaluation reports suitable for internal audits and governance reviews — instantly exportable.
Built for modern AI teams.
Whether you’re evaluating a single model or governing hundreds, Veritell gives you the visibility and trust you need at scale.
Try the Evaluator“Veritell gave us measurable confidence in our AI outputs. We identified bias and risky phrasing our internal QA completely missed.”
Built for regulated industries
Designed for finance, healthcare, and other high-compliance sectors, Veritell helps you validate AI outputs against internal policies and risk thresholds — reducing audit time and improving transparency.
FAQ
Is there a free tier?
Which models are supported?
Do you store my prompts?
Do I need a custom or fine-tuned model for Veritell to be useful?
Can Veritell evaluate models that aren’t owned or trained by my organization?
Do you have an API?
What’s the difference between UI and API evaluations?
Join the Veritell Beta
Get early access to bias, hallucination & safety detection for AI.