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VISUAL QC
Visual quality control with AI for product
We automate visual inspection of products, photos and catalogues to detect defects and standard deviations without manual review.
Visual quality control with AI for product
A visual quality control AI agent matters when you need to inspect physical product, photos or catalogue against a quality standard, not verify an interface render or classify images in general. 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.
We automate visual inspection of products, photos and catalogues to detect defects and standard deviations without manual review. That is why we prioritise a governable, measurable agent ready to evolve without rebuilding its foundations.
THE CHALLENGE
The challenge of visual quality control with AI
product and catalogue inspection is done by hand with no measurable standard
Visual review that does not scale
Checking the state of products, documents or images by hand is slow and human error is constant.
Unclear acceptance criteria
Without an objective reference, each reviewer decides what is acceptable based on their own judgement.
Inconsistent incident recording
Detected defects are not documented uniformly and traceability is lost.
APPROACH
How we fix inspecting product, photos and catalogue against a standard
We move forward with measurable decisions and releases that already add value.
Visual criteria definition
We agree what counts as correct and what does not, with examples serving as system reference.
Data collection and labelling
We gather real images of correct and incorrect cases to train the AI model.
Validation against human review
We compare AI detection with staff review and adjust acceptance thresholds.
Deployment and monitoring
We put the system into production and log every incident to audit and improve continuously.
DELIVERABLES
What visual quality control with AI leaves ready
We deliver an operational foundation your team can govern and keep improving.
Operational visual control system
AI tool that reviews images and flags incidents according to agreed criteria.
Documented acceptance criteria
Guide with correct and incorrect examples serving as reference for the system and team.
Trained and validated AI model
Model tuned with real data and checked against reference human review.
Incident log and metrics
Record of detected defects with traceability and system accuracy metrics.
TRUST
Technology applied to real operations
We automate visual inspection of products and catalogues against standards since 2008, in Barcelona and Madrid and remote. Criteria and cases 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 quality control with AI
Have a project in mind?
Tell us what you need around visual quality control with AI. We will help you turn it into a clear, viable delivery plan.
