QualGent

QualGent is an autonomous mobile test automation platform for AI-built software. Capture real mobile bugs, verify app behavior with AI or human reviewers, and turn issues into reusable regression coverage.

AI Testing & QA

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Overview

QualGent is an autonomous mobile test automation platform for AI-built software. It is positioned as a closed-loop QA system that connects bug capture, verification, and release readiness so teams can turn real app behavior into reusable tests and clearer ship decisions.

The product is organized around three parts: TrustLoop for shift-right bug capture, DevLoop for shift-left device-aware testing, and Enterprise for routing tests to AI or human verifiers. The stated goal is to reduce dropped context, convert bugs into structured verification assets, and help teams validate mobile apps without relying only on manual QA or brittle scripts.

Core capabilities

TrustLoop bug capture

Capture mobile issues from real usage and turn them into structured reports with repro steps, screenshots, notes, and candidate regression tests.

DevLoop device-aware verification

Let AI agents tap, swipe, inspect, and validate real app flows on devices and simulators before code reaches QA.

Enterprise fan-out verification

Route each test to AI agents, human testers, real devices, simulators, or a combination, then bring results back into one release-readiness view.

Coding-agent native workflow

Support MCP-based workflows for coding agents such as Claude Code, Cursor, and Copilot Workspace, along with other MCP agents.

Structured feedback loop

Preserve context across the QA loop by converting bug reports into repro paths and regression candidates that can be reused later.

Session context capture

Track what happened during a session, including flow, screen, device, OS, region, notes, and other captured context.

Common use cases

Capture real mobile bugs
Use TrustLoop when a team member, beta user, or tester hits a mobile issue in a real app session and you want a reproducible report instead of a vague message thread.
Verify agent-built changes earlier
Use DevLoop when coding agents are building or modifying app flows and need to verify behavior on real devices or simulators before code moves to QA.
Route verification by risk and ambiguity
Use Enterprise when different tests need different kinds of review, such as AI for repeatable checks and humans for exploratory or ambiguous flows.
Turn bugs into regression coverage
Use the platform when bug history should become future coverage, so a captured issue can later be reused as a regression test in the development loop.
Consolidate release readiness
Use QualGent when a team wants one release-readiness view that brings together AI results, human review, and existing issue workflows.

Pros and Cons

Pros

Connects bug capture, regression testing, and verification in one workflow.
Produces structured outputs such as repro steps and test cases instead of only raw bug notes.
Supports both AI and human verification, which fits ambiguous or high-risk flows.
Works with coding-agent workflows through MCP and mentions several common developer tools.
Grounds testing in real app behavior on mobile devices and simulators.

Cons

The pricing page in the collected sources does not show public plan details or pricing.
The source content is high level on product behavior and does not provide deep setup, API, or implementation documentation.

FAQ

What does QualGent do?

QualGent is presented as an autonomous mobile test automation platform for AI-built software. It combines TrustLoop for shift-right bug capture, DevLoop for shift-left device-aware verification, and Enterprise for routing tests across AI and human reviewers.

Who is QualGent for?

The site frames QualGent for founders, PMs, UX, QA, engineering leaders, engineers, and coding agents. TrustLoop is aimed at capturing real mobile issues, while DevLoop is aimed at helping coding agents verify app behavior before code reaches QA.

What tools or workflows does it integrate with?

The homepage says DevLoop works through MCP with Claude Code, Cursor, Copilot Workspace, and other MCP agents. The Enterprise page also lists integrations with Jira, Linear, GitHub, GitLab, Slack, ClickUp, and CI/CD.

Is pricing listed publicly?

The pricing page did not load a pricing table and instead returned a 404 page. The site footer still links to Contact Sales, but no public plan details or prices were shown in the collected content.

What does QualGent output after a test or bug capture?

The platform describes output such as structured bug reports, repro steps, regression tests, and a release-readiness view. TrustLoop can capture video, device, OS, region, screenshots, notes, and test cases from a session.

Quick Facts

Category: Autonomous mobile test automation
Primary users: Engineering leaders, QA teams, founders, PMs, UX, engineers, and coding agents
Platform focus: Mobile apps
Workflow: Closed-loop QA with shift-left and shift-right testing
Source domain: qualgent.ai
Pricing: Not publicly shown in the collected pricing page