Grounding and hallucination checks
Patronus AI is known for evaluators that judge whether answers are supported by source context, including its openly released Lynx hallucination-detection model.
SERVICES / EVALUATION PLATFORMS
Make Patronus AI evaluations decision-ready.
Independent planning and implementation for teams considering or using Patronus AI, focused on grounding, hallucination and agent-quality evaluations calibrated to your domain.
Where Patronus AI fits
Domain-heavy workflows
Its research work, such as the FinanceBench dataset, reflects a focus on high-accuracy domains where unsupported answers are costly.
Agent behavior review
Evaluating multi-step agent behavior, not only single responses, is part of its current positioning. We confirm the features available to you in discovery.
How we help
Define what "grounded" means for you
Which sources count, how strict attribution must be, and when a partial answer is acceptable. We write it down before configuring evaluators.
Build reference-backed test sets
Questions paired with approved source passages and expert-reviewed answers, including tricky cases where documents conflict or are silent.
Calibrate against your experts
Compare evaluator verdicts with domain reviewer labels. Measure false passes and false failures, then tune rubrics and thresholds.
Make results actionable
Version comparisons
Run the same cases on each agent version so improvements and regressions are visible and attributable.
Severity before averages
Unsupported claims in high-impact answers are reported separately, so a good overall score can't hide them.
Thresholds agreed in advance
Release thresholds are set before results are reviewed, avoiding moving goalposts.
Related services
Evaluation Assessment
A baseline for one Patronus AI agent or workflow, with prioritized findings and a release recommendation.
Explore serviceHallucination Testing
Measure how often your Patronus AI agent invents facts, policies or actions, and which fixes reduce it.
Explore serviceManaged Evaluations
Recurring tests as your Patronus AI agent, prompts, models and data change, with a monthly quality report.
Explore serviceFrom scope to handover
Start with your inputs
Representative tasks, approved sources, expected outcomes, platform access and a domain reviewer.
Keep reusable assets
A versioned test set, scoring definitions, calibration results, a baseline report, prioritized findings and a documented rerun process.
Support after handover
We can retest fixes, extend coverage to new Patronus AI workflows or move to recurring Managed Evaluations as your agent changes. Platform usage and licenses stay in your account.
Make your next decision with evidence.
Start with one workflow, clear success criteria, and an evaluation plan your team can use.