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AI QualityOps infrastructure for teams building agents, LLM applications, RAG systems, and autonomous workflows.

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© 2026 nexoqoai.tech. Nexoqo is the AI QualityOps platform.

Make production AI measurable, testable, and dependable.

Developer workflow

Build quality into every AI release.

Connect your application, define measurable behavior, run repeatable evaluations, and move quality signals into the release workflow.

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API first · model agnostic · custom criteria

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Developer model

Quality infrastructure that fits the way you build.

Keep the models, frameworks, and application architecture you already use while adding a dedicated evaluation layer.

API-first

Connect custom AI applications and evaluation workflows through APIs and SDKs.

CI/CD-ready

Run established evaluation suites as part of the engineering release process.

Custom evaluators

Define business-specific quality criteria alongside deterministic and model-based checks.

Production tracing

Bring real-world agent traces back into analysis and future regression tests.

Test definition

Describe the behavior that must hold.

A test can capture the input, expected workflow, required tool, prohibited claims, quality threshold, and operational limits that matter for one business scenario.

  • Expected behavior and workflow steps
  • Quality, latency, and cost thresholds
  • Required tools and prohibited behavior
Explore agent testing
evaluation.case.yamlConceptual example
name: customer_refund_request

input:
  message: "I was charged twice."

expected_behavior:
  - identify the billing issue
  - use the approved workflow
  - explain the next step clearly

evaluations:
  task_completion:
    minimum_score: 0.90
  policy_compliance:
    required: true
  tool_selection:
    expected: billing_lookup

Illustrative syntax only. It does not represent a guaranteed final API format.

Bring your workflow

Design evaluation around the way your agent behaves.

Book a technical conversation about your stack, test scenarios, evaluators, and release process.

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