Backed by
A New Way to Test
Describe a goal. AI agent finds bugs and builds a living QA plan — locally or in the cloud.
Ask an agent
Tell the agent what to test:
- •Runs end-to-end locally
- •Captures steps and screenshots
- •Outputs possible Issues and a Test Plan
Save a workflow
Review and save as a reusable QA workflow:
- •Test Plan + evidence
- •Issues with reproducible steps
Re-run anytime
Re-run saved plans to catch regressions:
- •RUN IN PARALLEL
- •Easily update test cases
- •Review self-healing agent requests
True visual QA
AI that works with actual UI, not text-based structure
Finds bugs you wouldn't expect
Responsive testing: desktop → mobile
No setup, no deploy
Point at any URL and start testing
No CI/CD pipeline or configuration required
Private by design
Passwords encrypted, AI types them without seeing their values
No source code access required
Locally or in the cloud
Test localhost, staging, or production — right from your machine. Need to run on the go? Use Agentiqa Web from any browser.
What is agentic testing?
AI agents execute testing goals and surface findings — not just scripted steps.
What does it find?
Unexpected bugs + UX issues: broken states, visual glitches, responsive problems, and improvements.
How is it different from cloud AI testing?
Local-first runs for localhost/internal builds—no queues, no per-run cloud overhead.
Is it privacy-first?
Yes — no source code access required; credentials are encrypted and never sent to the LLM.
Get in touch
[email protected]
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