Agentic QA for teams shipping complex products
An independent AI agent tests your app like a user — no scripts, no selectors, no test code to maintain. We set it up with you; your team reviews findings, not flaky tests.
Independent QA
Tests from the outside, like a real user. No repo integration or code upload required.
Security
Credentials never enter the model context. BYOK & on-premise options available.
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True evidence
Every run includes video, screenshots, and step-by-step reproduction: proof, not just a claim.
CI-native
CI-grade CLI with native CI/CD integration for GitHub Actions, GitLab, CircleCI, and Buildkite.
Local-first
Tests can run fully on your machine: no tunnels or source-code upload required.
Point it at your app
Give it a URL — cover the whole product, or target the flows your team just shipped.
It explores and builds a test plan
The agent navigates every flow it finds and turns them into a test plan your team can review, edit, and keep.
Get findings, then re-run on every push
Bugs arrive as structured reports your team can act on. The plan re-runs on demand, in parallel, or from your CI.
Point it at your app
Give it a URL — cover the whole product, or target the flows your team just shipped.
It explores and builds a test plan
The agent navigates every flow it finds and turns them into a test plan your team can review, edit, and keep.
Get findings, then re-run on every push
Bugs arrive as structured reports your team can act on. The plan re-runs on demand, in parallel, or from your CI.
Remembers your product
Project memory carries context across runs — flows, quirks, past bugs — so every run starts smarter than the last.
One hub for testing
Test plans, run history, and findings live in one place — a QA hub for teams without a QA department.
Regressions over time
Every run is recorded with its findings, so you can see what broke, when, and how often across releases.
Remembers your product
Project memory carries context across runs — flows, quirks, past bugs — so every run starts smarter than the last.
One hub for testing
Test plans, run history, and findings live in one place — a QA hub for teams without a QA department.
Regressions over time
Every run is recorded with its findings, so you can see what broke, when, and how often across releases.
Runs where your team works
Test localhost, staging, or production locally — your app stays on your machine and only model-provider calls leave your network.
Or run in the cloud, in parallel, from any browser with Agentiqa Web.
Ways to use Agentiqa
Fits the way your team already ships.
CLI
A quality gate for your CI/CD pipeline.
- GitHub Actions, GitLab, CircleCI, Buildkite
- Service-key auth, JSON output, exit codes
- Claude Code / Cursor / Codex plugins
Web
Cloud runs for your whole team, no setup needed.
- Cloud execution, nothing to install
- Parallel test-plan runs
- Learns your app across runs
- Shared access across your team
Desktop App
Local-first evaluation on your own machine.
- Test localhost & internal builds
- Your app and data stay on your machine; only model calls go out
- Included with Community — $5 of usage each month, credits to scale
What is agentic testing?
AI agents execute testing goals and surface findings — not just scripted steps.
What kind of issues does it catch?
Functional and UX regressions — broken states, visual glitches, responsive problems — each reported with severity, category, and step-by-step reproduction your team can act on.
How does onboarding work?
Company plan engagements include a warm start: we set up and maintain your suite with you for the first month, then any engineer or QA runs it.
Can we run it locally and in our CI?
Yes — run local-first for localhost and internal builds, or wire the CLI into your CI as a quality gate. GitHub Actions and other major providers are auto-detected.
How does it protect our code and secrets?
The agent tests from the outside, so it never needs repo access. Credentials are stored encrypted and typed by name — the model only ever sees placeholders.
How is it different from AI + browser?
For a one-off check, that works. It stops working when testing must repeat and be trusted: a raw prompt loop wanders, reports "looks fine" without proof, and reads your passwords. Agentiqa is that idea built into a QA system — supervised runs, recorded step-by-step evidence, plans that re-run in CI and in parallel, credentials the model never sees, and testing context that compounds.
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Get in touch
hi@agentiqa.com© 2026 Agentiqa, Inc. All rights reserved.