TrustLoop bug capture
Capture mobile issues from real usage and turn them into structured reports with repro steps, screenshots, notes, and candidate regression tests.
QualGent
Freemium
Tests mobiles autonomes pour logiciels créés par IA et couverture de régression réutilisable
Qu'est-ce que QualGent ?
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.
Que peut faire QualGent ?
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.
Cas d'utilisation
“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.
Questions fréquentes
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.
Informations rapides
- 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
Analyse du trafic de QualGent
Les données de trafic sont fournies à titre indicatif uniquement.
- Évaluation du domaine
- 19
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