Prova vs Patronus AI
Patronus scores how good your outputs are. Prova decides what runs, signs the record, and rolls back the deploy that made it worse.
BOOK A CALLPatronus AI is an evaluation platform: LLM-as-judge scoring, hallucination and quality metrics, and curated test sets, mostly in dev and CI. Prova is the AI control plane in production: a deterministic, label-free run-health verdict, gateway enforcement, signed receipts, and version-aware regression detection that can auto-rollback a deploy.
| Feature | Prova | Patronus AI |
|---|---|---|
| LLM-as-judge quality scoring | opt-in | Yes |
| Deterministic, label-free run verdict | Yes | No |
| Hallucination / groundedness detection | Yes | Yes |
| Curated eval test suites | pairwise probes | Yes |
| Gateway enforcement (block before the call) | Yes | No |
| Ed25519-signed receipts (auditable evals) | Yes | No |
| Version regression gate in CI | Yes | partial |
| Auto-rollback on a signed regression | Yes | No |
| Runtime autonomy boundaries | Yes | No |
| EU AI Act / FDA / SEC / HIPAA export | Yes | No |
Where Prova is different
A deterministic verdict, not a judge score
Patronus is built on LLM-as-judge, which varies run to run. Prova's run-health verdict is deterministic and label-free; the LLM judge is an opt-in layer on top, and even its judgements are signed receipts so the evaluator is itself auditable.
From eval to control loop
Patronus tells you a release scored lower. Prova turns that into action: a canary that auto-reverts the deploy on a signed regression. The eval becomes enforcement.
Signed, not just scored
Patronus produces evaluation scores. Prova signs every decision (and every judgement) into a tamper-evident trail a regulator can verify offline.
Use Patronus AI for deep offline eval and quality benchmarking. Use Prova for the production control loop: deterministic verdicts, gateway enforcement, signed receipts, and auto-rollback. Many teams run Patronus in CI and Prova in prod.