AI-built software. Expert-reviewed.

Your AI built it.Get expert eyes on it before you ship.

AI checks + human QA judgment. Get verified issues, reproduction evidence, and fix-ready prompts for your coding agent.

Instant on. Start getting AI QA value within days of our first conversation.

Human QA for AI-built software.

Start with one artifact or a focused user journey. We prioritize the most useful checks for that scope—not an exhaustive audit of your entire product.

Live URL or build
Screenshot or image
Document or product spec
API spec or collection

AI code safety

State, errors, and inputs.

False success, missing loading and recovery states, stale data, duplicate actions, partial failures, weak form validation, awkward real-world inputs, and assumptions that only work on the happy path.

Privacy and reliability

Risks behind the interface.

PII in screens, URLs, logs, or errors; unsafe permissions and defaults; exposed configuration; failed or excessive network calls; slow paths; retries; and behavior that looks complete before it actually is.

Human reality

Experience customers notice.

Fresh-eyes journey friction, real-world data and transactions, accessibility, device and channel handoffs, visual polish, brand consistency, and expert triage that makes feedback useful to developers.

QA expertise for your team

For teams

Enterprise

Private AI QA for your team, on your terms.

Private environment. Use your own AI keys.
QA experts in the loop—from IcebergQA, your own team, or both.
Team visibility into reviews, findings, and fixes.

IcebergQA reviewLoop

Testing experts, inside your coding agent.

Ask for testing help from your coding agent with reviewLoop. You approve what to share. AI prepares candidate findings; experts investigate and add their own testing. Feedback returns in context, ready for developer-approved fixes.

See the expert review loop How reviewLoop works

No separate briefing. No contextless bug dump. Scoped by your team · AI-prepared · Expert-tested · Returned where developers can act

AI speed. Human judgment.

Need more than one review?

Accelerate QA now.

AI-first managed testing expands your coverage with experts who run the work. Enhance your existing tests and automation—without starting over.

Learn to run it yourself.

An AI QA Capacity Sprint gives your team practical tools and habits they keep using. Continue with our experts, run it yourself, or combine both.

Latest AI QA technology from testers.ai + Experienced QA experts from XBOSoft

Before you request a review

How quickly will I get results?

We confirm availability and a turnaround with you by email before work begins. This page does not promise an instant result or a fixed delivery time.

What do I receive?

A readable review with verified issues, reproduction evidence where the artifact permits it, individual fix prompts, and a combined prompt for your coding agent. We distinguish findings from uncertainties and list areas not assessed.

Do I need to install a plugin or book a call?

Start with the short request form. You can share a URL or describe your artifact; we’ll work out access and scope by email. The coding-agent plugin is another way to bring reviewers into your workflow.

What if you don’t find bugs?

You still receive the review’s observations, checked areas, and remaining gaps. We don’t promise a minimum bug count or certify that a release is bug-free.

Can I share private software?

Describe it first. Don’t put passwords, API keys, customer data, or signed access links in this form. We’ll agree on appropriate access. Enterprise can use a private environment, your own AI keys, and your own reviewers.

The IcebergQA blog

A human perspective on AI quality.

Ideas from the people testing, steering, and taking responsibility for AI-built software.

Phil Lew · AI & human judgment

Who's Driving?

When AI writes the code, who takes the wheel? Phil Lew explores where automation helps—and where expert judgment still matters.

Read article

Before you ship, get a second set of eyes.

Bring AI testing and expert judgment to your next release. Let’s talk about your team.