QC Is Still Two Eyes, Two Hands, and a Clipboard. We Change That.
Your Team Can’t Catch Every Defect. QSee Can. We bring quality control into the 21st century with real-time, built-in manufacturing flow with AI-powered inspections.
%
Accuracy
%
Productivity gain on control cycle time
%
Reduction on reworking/repair operation on finished good
Tailored computer vision for your unique production process & Quality DNA
Traditional QC relies on opinion, sampling, and manual reporting. QSee replaces that with objective, real-time data that’s built directly into your production flow.
Snap a photo
Workers scan each piece with a smartphone, no extra hardware needed. Workers bring the object (panel, semi finished, finished) under the field of view, QSee does the rest!
Full Quality Traceability
Each piece control is logged with photos, results, timestamps, and operator ID.
Supervisors Get Alerts
Line leads can act fast before the defect moves downstream. Line supervisor can act instantly with no delay between a quality crash event and the signal reaching the supervisor.
Ai Flags Defects
Line leads can act fast before the defect moves downstream.
Smarter Every Day Continuous Tailoring
Our models continuously improve with your input and data, while Increasing reliability and adaptability over time.
Snap a photo
Workers scan each piece with a smartphone, no extra hardware needed. Workers bring the object (panel, semi finished, finished) under the field of view, QSee does the rest!
Full Quality Traceability
Each piece control is logged with photos, results, timestamps, and operator ID.
Supervisors Get Alerts
Line leads can act fast before the defect moves downstream. Line supervisor can act instantly with no delay between a quality crash event and the signal reaching the supervisor.
About QSEE.AI
Built by Industry Insiders. Designed for the Factory Floor.
Built by Industry Insiders. Designed for the Factory Floor.
QSee was founded by Cyrus Naderi, a textile engineer and former global quality control executive, after spending decades inside factories, attending supplier meetings, and handling crisis calls with brands.
He saw firsthand how critical QC was…and how badly the system was failing.
Quality control has been overlooked by every industrial revolution, left behind in a world that now produces 100 billion garments annually.
Cyrus built QSee to change that.
Our mission is to bring QC into the AI era, with tools that are simple, scalable, and made for the people doing the work.
What we do
We provide manufacturers and brands with full visibility into quality, using just a smartphone.
For Manufacturer
- Productivity gains at QC stations, and upstream/built-in quality control paradigm shift opportunity
- Accountability up / downstream of QSee stations: no more blaming between teams (cutting, print, emb., sewing) about defects.
- No more pen & paper or delayed signals
- Full traceability from cutting to final goods
- Less rework, less disruption
- Photo records + live dashboards
- Waste (material, energy, and labor) reduction by stopping defects early
For Brands & Retailers
- 100% inspection data — no sampling
- Fewer returns, happier customers via continuous model training
- Skip final AQL inspections
- Confidence in every PO, every time
Ability to discriminate quality between online channel quantities (0% defect) and physical retail (5% defect)
For Brands & Retailers
- 100% inspection data — no sampling
- Fewer returns, happier customers via continuous model training
- Skip final AQL inspections
- Confidence in every PO, every time
Ability to discriminate quality between online channel quantities (0% defect) and physical retail (5% defect)
Where QSee Delivers
and the List Continues
to Grow
Cutting
- Panel measurement
- Fabric defects
Print & Embellishment
- Position accuracy
- Multiple prints location checks
- Print/emb defects
Sewing
- Critical-step monitoring (e.g. pocket stitching)
- Stop defective semi-finished pieces early
Finished goods
- Final measurement
- Visual defects
- Embellishment errors
Cross-Cutting Issues
- QC staff turnover
- Data manipulation
- Third-party QC inconsistency
- Localized bias in pass/fail standards
Contact us
Interested in seeing how Qsee works in your factory?
Let's talk
Blog
Discover our latest News
My First Post
Hello world!
Welcome to WordPress. This is your first post. Edit or delete it, then start writing!



