For Leaders

Quality that compounds as you scale

Agents changed how software gets built. Quality has to change with it.
Try it yorself
Stacked blocks labeled Quality, ROI, and Release, representing AI software testing that improves release decisions as teams scale

Trusted across industries

Conduent
ServiceNow
Uponor
McAfee
Banjo Health
Norstella

Software ships at agent speed

Verification has not kept up

The constraint moved

Your teams can build faster than ever. Confidence in what ships is now what sets the pace.

The old model breaks

Suites written and kept by hand cannot track change written by agents. The gap widens every release.

Tooling will not close it

Bolting AI onto yesterday's tools changes the interface, not the economics. Keeping pace takes a different foundation.

Agents write the code. The check has to be independent.

The system that writes a change cannot be the one that decides it is safe to ship.

Your coding agent

Writes the change

It holds the codebase: the structure, the intent, what changed. It never sees what the code becomes when it runs.

Functionize Studio

Verifies it, independently

It holds the application: how it actually behaves when the code runs. Every change is tested against the running app, by a system that did not write it.

An independent agent with no loyalty to your code.

Only to the quality of your application.

The standard that decides what ships

Your customers experience whatever clears it. Your team sets the standard. Studio tests every change against your running app and holds it there.

Release-gated

Every change passes through it

Releases move on a standard you set, not on whoever had time to test. Every release has a clear answer.
Application data layers representing every software change passing through automated testing before release
user icons representing lower testing costs as software quality improves at scale
Quality compounds

The economics invert

Every run sharpens the system on your product. Quality gets cheaper to keep as you scale, not more expensive.
You direct, agents execute

The standard is yours

Your team owns what good means, which risks matter, and the call to ship. Agents run everything in between.
Test command flowing into connected application steps, representing people setting the standard while AI agents run the tests

Give your release
a clear answer

Quality that keeps pace with how fast your teams build, on a standard you set.
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FAQ

A coding agent checking its own work is not verification. Studio tests every change against the running app, independently of the tool that wrote it. That separation is what makes the result something a release decision can stand on.

Bolting AI onto yesterday's tools changes the interface, not the economics. The suite still breaks when the app changes, and the upkeep still lands on your team. Studio is built on models trained on real enterprise testing data, and it sharpens on your application with every run. The foundation is different, so the economics are different.

Every run teaches the system more about how your application behaves. Coverage climbs, upkeep falls, and the accuracy of every verdict improves.

You do. Your team defines what good means, what must never break, and what evidence a release needs. Studio enforces that standard on every change. Nothing about the bar moves out of your hands.

Studio detects the change, updates the affected tests, and keeps the suite current. Your team reviews what matters instead of repairing what broke.

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