Months of AI QA
generated and running in hours.

QualiLoop turns your system prompt and configuration into the full production test program teams normally spend months designing.

Reliability tests - does it work Red-team tests - is it safe Bias tests - is it compliant

We create hundreds of test scenarios, simulate real single-step and multi-step user conversations, score every response, and monitor flow health over time.

Starting at $500 a month.

QualiLoop generating test categories and flow suggestions from a live AI system
~4h to first full coverage
90% lower QA cost
10× faster test creation
20h+ security testing saved monthly

Trusted by

  • B2Bee
  • One Assessment
  • Atomic AGI
  • Moveo One
  • WellPet.ai

From system prompt to complete production coverage.

Connect your AI system once. QualiLoop generates reliability, red-team, and bias tests, runs simulated users, scores every response, monitors critical flows, and produces reports when needed.

  1. 01

    Connect your AI system

    Plug in through Langfuse, LangSmith, a direct endpoint, or browser testing. QualiLoop works with agents, chatbots, workflows, and custom AI systems.

  2. 02

    Generate the full test program

    QualiLoop uses your system prompt and configuration to create reliability tests, red-team attacks, bias tests, categories, and custom checks.

  3. 03

    Run simulated users

    Run single-message tests or adaptive multi-step conversations in parallel. Every response, tool call, violation, and cost is captured.

  4. 04

    Monitor, report, and improve

    Roll results into flows, track coverage gaps, schedule regressions, gate releases, and export reports for teams, customers, or auditors.

Full coverage, not a blank test plan.

QualiLoop uses your system prompt and configuration to decide what should be tested: the coverage categories, the tests inside each category, and the checks that define a clean response.

Full program generated before your team has to write tests by hand
  • Coverage categories, test cases, and paired checks generated together
  • Reliability tests, red-team attacks, and bias tests from one workflow
  • Custom checks proposed from your prompt, configuration, policies, and domain rules
  • Response quality, violations, tool calls, token usage, and cost tracked on every run
Proposed test categories to generate a suite from
Individual proposed tests generated for the AI system

One AI system. Three complete test suites.

Production readiness is not one generic score. QualiLoop separates the work into reliability tests, red-team tests, and bias tests, then rolls every result into monitorable flows.

Reliability tests

Does it complete workflows, follow policy, call tools correctly, and keep response quality high?

  • Policy handling User asks for an action outside policy Refuses or redirects without breaking the rules
  • Workflow completion Multi-step task with tools, missing details, and follow-up Completes the workflow with real data
  • Response quality Confused or frustrated user asks for help Stays accurate, clear, and on-brand
For QA & dev teams →
Red-team tests

Can an adversary bypass guardrails, inject instructions, exploit tools, or extract sensitive data?

  • Jailbreak User pressures the system to ignore its rules Keeps the policy under pressure
  • Prompt injection Malicious instructions appear inside external content Ignores injected instructions
  • Data extraction User impersonates someone with higher access Refuses restricted data or actions
For security teams →
Bias & fairness tests

Does it treat equivalent users consistently across protected attributes and scenarios?

  • Equal treatment Equivalent request, different demographics Same quality of response across groups
  • Protected attributes Sensitive attribute changes while the task stays the same No reliance on protected characteristics
  • Disparate outcomes Recommendation, refusal, or tone differs by group Consistent, non-discriminatory outcomes
For risk & compliance teams →

Reliability, red-team, and bias results roll up into the same flows, so quality, defense health, and fairness evidence are monitored in one place.

No new hires. No one pulled off the roadmap.

Covering reliability, red teaming, and bias testing in-house usually means hiring specialists or pulling engineers away from the roadmap. QualiLoop compresses that work into one generated, continuously runnable QA loop.

The traditional way

  • 2 × AI QA engineers$8,400/mo
  • Data scientist · test sets & coverage$6,600/mo
  • Red-team security engineer$7,200/mo
  • AI safety & compliance engineer$6,600/mo
Roughly $28,800/mo

With QualiLoop

All three modes in one platform. Generate the tests, run them at scale, inspect the failures, monitor flows, and export the evidence without building the QA program manually.

Starts at $500/mo
Book a demo

Even offloading part of this work can save you thousands a month.

Test one question, or a whole conversation.

Single-message tests send one input and score the response, perfect for broad guardrail, accuracy, and fairness sweeps. Multi-step tests simulate users that behave like real people: they read each response and adapt, whether they are confused, impatient, adversarial, or following a script.

100s of single-message and multi-step sessions, run in parallel
  • Single-message tests for fast, high-volume coverage
  • Multi-step simulated users that react like real people
  • Scripted scenarios with variables for exact workflows
Multi-step conversation testing with scoring
System trace with tool calls, tokens, and cost

A living map of your AI system's health.

A flow groups related tests by category, like refunds, workflow integration, jailbreaks, or equal-treatment checks, into one monitorable unit. Together, your flows show what is covered, what is missing, and where your system is getting weaker.

Generate tests for any gap in one click, schedule critical flows to run daily or weekly, and use reliability, red-team, and bias health as release signals, so a prompt or model change cannot quietly break production.

  • Covered vs missing categories, at a glance
  • Reliability, red-team, and bias health tracked over time
  • Schedules, watchlists, release gates, and PDF reports
Flows coverage and health monitoring dashboard

No black boxes. See exactly what happened.

Open any session and replay the conversation: every message, tool-call trace, with inputs and outputs, violations, custom-check results, token cost, and root cause behind each failure.

When a test fails, you do not just see that it failed. You see the exact call, response, or decision that caused it, so your team can fix it fast.

  • Full conversation, trace, cost, and violations
  • Root-cause context on every failure
  • Shareable failure summaries for QA, product, eng, and execs
Turn-level trace and scored result

Connect any setup. We build what we do not have.

Use QualiLoop directly, wire in your observability stack, or test a browser-based chatbot with zero instrumentation. If your stack is not supported, our engineers build the integration path for you, free.

Free custom integration when your stack is not already covered
Langfuse LangSmith Grafana Direct Endpoint Dify Browser · zero-setup GoHighLevel Custom stack

Simple pricing. 7-day trial.

No credit card required to start.

Starter

$500/mo

5,000 conversations per month

  • All test modes included
  • Full suite generation
  • Custom checks
  • Flows, scheduling, and reports
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Enterprise

Custom

Unlimited sessions

  • Free custom integrations
  • Live production monitoring
  • SAML SSO & VPC
  • Dedicated SLA
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Common questions.

What does QualiLoop test?

Reliability, red-team resistance, bias and fairness behavior, hallucination, system failure, jailbreaks, NSFW, and any domain-specific checks you define.

How are custom checks generated?

From your system prompt, policies, tools, and configuration, paired with the matching test categories. You can add your own in plain English at any time.

How fast is full suite generation?

Minutes. Categories, tests, synthetic users, and checks that normally take QA teams weeks or months to design by hand.

Single-message vs multi-step?

Single-message tests run one input and one response, ideal for high-volume coverage. Multi-step tests simulate users that react to your AI system like real people.

Does it work with my stack?

Yes, any setup. If we do not already support it, our engineers build the integration for you at no extra cost.

What are flows?

Monitorable test groups organized by category. They surface coverage gaps and track reliability, red-team, and bias health over time.

Production QA for AI systems, on autopilot.

Generate tests, run simulated users, attack your guardrails, measure bias, and monitor every critical flow from one platform.