Phoenix for evaluation
Arize Phoenix, which teams can self-host, supports datasets, experiments and LLM-as-a-judge evaluations that teams can run themselves.
SERVICES / EVALUATION PLATFORMS
Offline evaluation experiments with Arize.
Independent planning and implementation for teams considering or using Arize AX and Arize Phoenix, focused on datasets, LLM-as-a-judge evaluations and calibrated offline experiments.
Where Arize fits
Evaluation templates
Prebuilt judge templates cover common questions like relevance and hallucination, and can be adapted to your criteria.
Recorded agent runs as evidence
Recorded traces of agent runs can be pulled into datasets for offline evaluation and review.
How we help
Structure offline experiments
Design experiments around task completion and answer quality, comparing versions on the same reviewed dataset.
Adapt and calibrate judges
Tailor evaluation templates to your business rules, then measure their agreement with expert reviewers before trusting them.
Turn recorded runs into tests
Select approved recorded runs, label expected outcomes and promote representative failures into the regression set.
Related services
Evaluation Assessment
A baseline for one Arize agent or workflow, with prioritized findings and a release recommendation.
Explore serviceHallucination Testing
Measure how often your Arize agent invents facts, policies or actions, and which fixes reduce it.
Explore serviceManaged Evaluations
Recurring tests as your Arize agent, prompts, models and data change, with a monthly quality report.
Explore serviceFrom scope to handover
Start with your inputs
Representative tasks, approved recorded runs, expected outcomes, platform access and a domain reviewer.
Keep reusable assets
Versioned datasets, judge prompts, calibration results, a baseline experiment, prioritized findings and a documented rerun process.
Support after handover
We can retest fixes, extend coverage to new Arize 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.