Quality assurance
Human expertise, enhanced by AI
Computer vision and quality engineering working alongside people. Fabric inspection, defect detection and intelligent validation — with human accountability on every decision, and no robots for show.

0.0%
Defect-detection confidence
0%
Batches with traceable QA data
0/7
Human oversight of the floor
How we assure quality
Four disciplines, one verifiable standard
Technology accelerates inspection; engineers and governance own the result. The combination is what makes the quality auditable.
Fabric inspection
Every batch inspected against defined tolerances — weave, weight, finish and consistency, captured as data.
Computer vision
AI-assisted defect detection scans at a scale and precision no manual review can match, flagging anomalies for review.
Quality engineering
Root-cause analysis and process control that prevent defects upstream, not just catch them at the end.
Intelligent validation
A verifiable quality score attached to each lot — auditable evidence, carried into the Digital Product Passport.
On the roadmap
Toward robotics in quality auditing
Phase 2 of our innovation roadmap brings robotics into quality auditing — extending consistency and throughput while keeping the human-in-the-loop framework firmly in place. Progress is presented as a structured roadmap, never overstated.
