AI Quality Assurance & Documentation for Fiber Networks
Technicians only take photos. FiberQA automatically checks quality, verifies labels, detects issues and generates project documentation.
Site
Antwerp North — Cabinet AN-247
Closure
FIST-GCO2-BC6 / Cassette 03
Technician
L. Janssen (Crew 14)
Captured
Jun 8, 2026 · 09:42 CET
AI Findings
- Cassette labels verified
- Fiber routing compliant
- GPS location verified
- Excess fiber slack detected
- Missing identification label
- Tube organization requires correction
Estimated rework cost avoided
€480
14
32
Designed for fiber contractors, network operators and quality managers
Measurable impact across every project
FiberQA is designed to help teams standardize acceptance, cut rework and close projects faster.
Up to 60%
reduction in rework costs*
Up to 3x
faster quality reviews*
Up to 95%
inspection consistency*
24/7
AI-assisted quality control
*Metrics shown are illustrative estimates based on industry assumptions, field experience and projected pilot scenarios. Actual results may vary depending on deployment, workflow and inspection volume.
Documentation is the industry's biggest challenge
Field interviews with fiber contractors and operators reveal a clear pattern: documentation slows down handovers, drives rework and frustrates technicians.
100%
of surveyed companies spend significant time on documentation
80%
report incomplete documentation as a recurring problem
100%
are interested in automatic photo-based documentation
From photo to approved project — automatically
One workflow combining AI quality assurance, label verification and automatic documentation.
Take Photos
Technicians capture closures, cassettes and labels straight from the mobile app — no forms, no paperwork.
AI Quality Check
Computer vision verifies workmanship, reads labels and flags missing or incorrect work in seconds.
Automatic Documentation
FiberQA generates complete, traceable project documentation from the photos — automatically.
Project Approval
Operators receive a clean, geo-verified evidence pack ready for sign-off and handover.
Site
Antwerp North — Cabinet AN-247
Closure
FIST-GCO2-BC6 / Cassette 03
Technician
L. Janssen (Crew 14)
Captured
Jun 8, 2026 · 09:42 CET
AI Findings
- Cassette labels verified
- Fiber routing compliant
- GPS location verified
- Excess fiber slack detected
- Missing identification label
- Tube organization requires correction
Estimated rework cost avoided
€480
14
32
Project-wide visibility for quality managers
Track inspection coverage, defect trends and contractor performance across every cabinet, crew and region in real time.
- KPI dashboards per project and contractor
- Defect categorization aligned to FIST acceptance specs
- Exportable evidence packs for client sign-off
- Role-based access for QA, PM and subcontractors
Demo Preview
Example Project · Overview
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Average Quality Score
Last 12 months
Top defect
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GPS coverage
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Massive, underserved fiber QA market
Global fiber rollout is accelerating — but quality control remains manual, inconsistent and costly.
€100B+
Telecom Fiber Market
global fiber infrastructure investments
€250 – €2,500
Average Rework Cost
per defect
Up to 70%
Inspection Time Reduction
compared to manual QC
First month
ROI for Contractors
often achieved within the first month
Recurring revenue with multiple growth levers
A diversified model combining SaaS subscriptions, enterprise deals and high-margin add-ons.
Monthly SaaS Subscription
€149 – €399+ per company per month
Enterprise Licenses
Custom contracts for large operators
API Integrations
Additional recurring revenue
Custom Reporting & Compliance
Premium add-on services
Built by someone who works in fiber every day.
FiberQA was founded by a fiber field technician with hands-on experience in telecom network deployment, acceptance testing and quality control. After years of seeing recurring installation defects, missing labels, poor cassette management and costly rework, the idea for FiberQA was created.
Our mission is simple: help contractors, operators and project managers improve quality, reduce rework and standardize fiber inspections through AI-powered quality assurance.