Vera · Evaluate AI outcomes
Evaluate AI outcomes.
Measure predictions, generated outputs and end-to-end system behaviour against clear criteria.
Run realistic journeys and evaluate whether the business outcome was actually achieved.
Illustrative Vera evidence
Input
AI input + expected outcome
Evidence
Metric results + evaluation trace
Output
Release finding
What it checks
Concrete checks, not a black-box score.
Task completion
Business-rule adherence
Answer relevance and correctness
Intent and routing
Tool selection and execution
State and trajectory integrity
What you get
An artefact your engineering team can act on.
- Turn-by-turn evidence
- Deterministic assertions
- Bounded semantic evaluation
- Release-ready findings and verdicts
FAQ
Questions about Vera.
Is Vera only an LLM-as-judge?
No. Semantic judgement is one layer. Deterministic and execution-integrity checks remain explicit.
What can Vera evaluate?
Vera evaluates predictive model outputs, classifications, generated content, RAG responses, document extraction and multi-step AI workflows using metrics and checks suited to each system.
Can a semantic pass hide a failure?
No. Hard deterministic and security gates remain explicit.