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VISUAL QA
Visual QA with AI: ship without surprises
The agent compares what is shown on screen against the intended design and catches visual defects before they reach production.
Visual QA with AI: ship without surprises
A visual QA AI agent matters when your goal is to verify the interface renders as designed and catch visual regressions before release, not inspect product or review code. Before selecting tools, we define journeys, permissions, data and supervision criteria so the agent operates under your company's control.
We work from Barcelona and Madrid and remotely with teams across Spain, Europe, LATAM and the United States. The process combines discovery, access hardening, verifiable releases and operational documentation.
We hand over code, repositories, configurations, skills and documentation in accounts owned by your company. You can audit, rotate credentials or change supplier without lock-in.
The agent compares what is shown on screen against the intended design and catches visual defects before they reach production. That is why we prioritise a governable, measurable agent ready to evolve without rebuilding its foundations.
THE CHALLENGE
The challenge of visual QA with AI
interfaces ship with visual defects nobody caught in time
Undetected visual regressions
A change in styles or components breaks screens without anyone noticing until a client sees it.
Costly manual testing
Reviewing every screen and device by hand is slow, subjective and misses rare states.
Cross-browser inconsistency
The same interface looks different across browsers and resolutions, with no single acceptance criterion.
APPROACH
How we fix verifying the render against the design before release
We move forward with measurable decisions and releases that already add value.
Defining critical visual cases
We select the screens and states that represent the product to fix the baseline.
Automatic capture and comparison
We generate screenshots across environments and AI detects differences from the reference.
Supervised triage of differences
A person classifies changes as expected or defects before marking them in the system.
Integration into the dev cycle
We connect verification to the change flow so every deployment is visually validated.
DELIVERABLES
What visual QA with AI leaves ready
We deliver an operational foundation your team can govern and keep improving.
Visual reference set
Baseline screenshots of critical screens and states approved by the business.
AI comparison system
Tool that detects and reports visual differences with tolerance thresholds.
Review and triage process
Flow where changes are validated and classified with traceability of each decision.
Visual health report
Periodic summary of detected regressions and cross-environment consistency status.
TRUST
Technology applied to real operations
We automate visual verification of screens against the design since 2008, in Barcelona and Madrid and remote. Cases, captures and thresholds stay under your control.
- Scope, assumptions and risks visible before the deployment is committed.
- Least privilege, secrets and systems of record defined from the design stage.
- A measurable first release before expanding channels or departments.
- Code, configuration and documentation under your company's control.
FAQ
Questions about visual QA with AI
Have a project in mind?
Tell us what you need around visual QA with AI. We will help you turn it into a clear, viable delivery plan.
