Independent agentic QA for AI-powered teams
AI writes code faster than your team can test it. Agentiqa tests in a real browser and verifies what users actually see. No manual click-throughs, no bugs shipped.
CI-native
CI-grade CLI with native CI/CD integration for GitHub Actions, GitLab, and CircleCI.
Local-first
Tests can run fully locally through the Agentiqa Desktop or as a skill for your coding agent.
True evidence
It watches every screen and outputs video, screenshots, and step-by-step reproduction.
Security
Credentials never enter the model context. No source-code access required.
SOC 2 in progress · View live Trust Center
Point it at your app
Give it a URL — cover the whole product, or target the flows your team just shipped.
It explores and tests
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
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 tests
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
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.

Ways to use Agentiqa
Fits the way your team already ships.
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.

