Run synthetic conversations and adversarial red-team attacks against your AI agent. Detect tool failures, guardrail breaches, and goal completion issues automatically.
Manual testing covers the happy path. It doesn't cover jailbreaks, adversarial inputs, tool failures under load, or the hundred other ways agents break in production.
APIs change, parameters drift, edge cases return errors. Your agent covers with a hallucinated response instead of flagging the failure.
The agent asks clarifying questions instead of acting, loops indefinitely, or declares success without completing the task. No error code, no alert.
Jailbreak prompts, prompt injections, and social engineering bypass safety layers. Standard models refuse to generate these attacks. Ours doesn't.
Run standard tests to validate workflows, then unleash red-team mode with our custom unfiltered model to find what no commercial model will test.
Generate diverse synthetic users that run your agent through real-world workflows. Verify tool integrations, goal completion, and response quality at scale.
Our custom unfiltered model generates attacks that commercial models refuse to create. Jailbreaks, prompt injection, social engineering — real attack vectors, not sanitized simulations.
Define domain-specific rules in plain English. QualiLoop evaluates every turn against your custom checks — and flags violations alongside built-in detections.
Already using an observability tool? Connect it to QualiLoop and start testing instantly. Or use our built-in observability for full end-to-end visibility.
If you already use an observability tool, just point QualiLoop at it. We pull traces, sessions, and tool calls automatically — no agent code changes needed.
Don't have an observability tool yet? Connect your agent directly. QualiLoop becomes your single pane of glass — tracking every conversation, every tool call, every API response, and every decision your agent makes.
Describe what your agent should do. QualiLoop generates the users, runs the conversations, and reports exactly what broke.
Describe the scenario in plain English. Set a goal, choose standard or red-team mode, add custom checks, and optionally define scripted steps.
QualiLoop creates unique synthetic users — terse, verbose, confused, adversarial — each approaching the same task differently to maximize coverage.
10 to 1000 concurrent conversations hit your agent. Every tool call, API response, and agent decision is captured with full trace data.
Built-in guardrails and your custom checks flag safety issues, hallucinations, prompt injection, tool failures, and domain-specific policy violations.
An AI judge reviews each session end-to-end: did the agent actually complete the task? You get pass/fail with detailed reasoning.
Similar errors are grouped. Flag issues to your watchlist. Schedule tests daily or weekly to catch regressions before they reach users.
Built for teams shipping AI agents in production. No test scripts to maintain — just describe and run.
Run single-turn, multi-turn, scripted, or red-team tests from one interface. Define goals, set guardrails, and launch parallel sessions in seconds.
Custom unfiltered model generates real adversarial attacks — jailbreaks, prompt injection, social engineering. No safety-washed simulations.
Built-in + custom guardrails check every turn for hallucination, safety, jailbreak, PII leaks, and policy violations. Fully configurable.
AI judge evaluates each conversation end-to-end. Pass or fail with specific reasoning about what the agent did or didn't accomplish.
See every tool call, parameter, and API response your agent made. Know exactly where integrations broke and why — down to the payload.
Automatically group identical failures across sessions and runs. One investigation covers hundreds of similar issues.
Set tests to run daily or weekly. Catch regressions from prompt changes, model swaps, or API updates before they reach production.
Define multi-step test scripts for precise workflows. Environment variables inject dynamic data. AI generates natural user messages from your steps.
Flag critical issues, add severity ratings and notes. Watchlist surfaces the most important failures across all test runs in one view.
The difference between hoping your agent works and knowing it does.
Start small, scale as you test more. Cancel anytime.
Any agent that accepts user messages and responds — tool-calling agents, RAG pipelines, multi-agent systems, chatbots. If it has an HTTP endpoint, QualiLoop can test it.
Commercial models refuse to generate jailbreak prompts, prompt injections, or social engineering attacks. Our custom unfiltered model has no such restrictions — it generates real adversarial inputs that actual bad actors would use.
Write a rule in plain English — like "the agent must never mention competitor products" or "prices must match the database." QualiLoop evaluates every turn against your rules and flags violations in the results alongside built-in detections.
No. Describe what you want to test in plain English, set a goal, and QualiLoop generates the scenarios automatically. You can optionally add scripted steps for precise multi-step workflows.
Yes — that's a core strength. We test end-to-end including all tool calls (APIs, databases, Slack, Linear, etc). Every call and response is captured, so you see exactly where integrations break.
Define a test once, schedule it daily or weekly. QualiLoop runs it automatically, evaluates results, and surfaces regressions — so prompt changes, model swaps, or API updates don't break things silently.
Yes. All data is encrypted in transit and at rest. Enterprise plans include VPC deployment and SAML SSO. We never train on your data or share it with third parties.
Book a 30-minute demo. We'll run a live test against your agent and show you exactly what it finds.