Compare consistently
Run prompts, models, agent versions, and workflows against the same evaluation set.
Connect your AI system, define what good behavior means, test every change, gate releases, and learn from production traces.
One workflow across development and production
Nexoqo turns evaluation into an operating practice instead of a one-time review before launch.
Connect an AI application, agent, workflow, API, or evaluation dataset.
Choose what success means using metrics, evaluators, rules, and business-specific acceptance criteria.
Execute scenarios across prompts, models, agent versions, datasets, or workflows.
Review scores, traces, failure clusters, regressions, and model comparisons.
Use measurable quality thresholds to determine whether an AI release is ready for production.
Evaluate real-world behavior and convert production failures into future test cases.
Production failures become better tests. Better tests create stronger releases.
Nexoqo is designed to connect evaluation and trace signals, apply your quality criteria, and make results usable across tests, regressions, monitoring, and release decisions.
Explore integration pathsConceptual architecture
Keep quality evidence connected to the change, trace, threshold, and production behavior that produced it.
Run prompts, models, agent versions, and workflows against the same evaluation set.
Inspect scores, trajectories, tool calls, retrieval behavior, and recurring failure clusters.
Use defined quality, safety, latency, cost, and critical-test thresholds to inform readiness.
Map your current evaluation process and see where Nexoqo can connect testing, gates, and production feedback.