Computer vision trained on fiber networks.
FiberQA's models are trained on thousands of FIST closures, splice cassettes and labeling configurations used by European fiber operators.
Upload Inspection Photos
Field crews capture closure, cassette, label and overview photos via the FiberQA mobile app or web upload.
AI Analysis
Vision models classify defects against your acceptance specification — labels, routing, slack, sealing and identification.
Quality Report Generated
Per-site score, geo-verified evidence and exportable PDF for client sign-off and contractor SLA tracking.
32 checks per closure, every time
Standardize what counts as a passing installation. Findings link directly to your acceptance specification so reports are defensible at sign-off.
- Cassette label presence & legibility
- Splice tray organization
- Fiber slack within specification
- Tube color order compliance
- Closure sealing & gasket position
- Identification label match (cabinet ID)
- GPS metadata vs. work order
- Cable entry strain relief
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